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Internet-based cognitive-behavioral therapy for premenstrual syndrome: a randomized controlled trial

BMC Women's Health volume 22, Article number: 5 (2022) Cite this article

Abstract

Background

Premenstrual syndrome (PMS) is a common problem of women of reproductive age, affecting various aspects of their lives. However, limited studies have investigated the effect of internet-based cognitive-behavioral therapy (ICBT) on PMS. Therefore, we aimed to assess whether ICBT can reduce symptom severity of women with PMS and improve their quality of life during the perimenstrual and late follicular phases of menstrual cycle.

Methods

The study included 92 university students aged 18–35 years who had moderate to severe PMS. The participants were allocated into two groups of 46 using block randomization. The intervention group underwent ICBT for two menstrual cycles, while the control group received no intervention. Before and after the intervention, all participants filled the Daily Record of Severity of Problems (DRSP) for two menstrual cycles and the Quality of Life Enjoyment and Satisfaction Questionnaire—Short Form (Q-LES-Q-SF) on days 1–2 and 11–13 of the menstrual cycle. Data were analyzed using univariate general linear models.

Results

Four students in the intervention group were lost to follow-up. Following the intervention, the mean score of total PMS symptoms was significantly lower in the intervention group than in the control group (10.4 vs. 20.2, adjusted difference: − 9.9 [95% CI − 13.3 to − 6.6]), and the score of perimenstrual quality of life was significantly higher (64.2 vs. 50.3, 14.1 [8.5 to 19.8]). However, there was no significant intergroup difference in the late follicular quality of life (68.3 vs. 67.3, 1.9 [− 4.4 to 8.1]).

Conclusions

The ICBT could reduce the symptom severity of women suffering from PMS while improving their perimenstrual quality of life. However, it had no significant effect on the late follicular quality of life. Therefore, this intervention can be used for women with PMS.

Trial registration The Iranian Registry of Clinical Trials, Identifier: IRCT20100414003706N34, Registered prospectively on 19 June 2019, https://www.irct.ir/trial/38394.

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Background

Some women experience several troublesome symptoms during their premenstrual period, which is a condition called the premenstrual syndrome (PMS) [1]. According to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), any woman experiencing at least five symptoms, including at least one affective symptom, of the PMS criteria within one week before menstruation for two consecutive cycles is suffering from PMS [2]. The symptoms should be severe enough to interfere with the patient's daily life [3].

In general, PMS affects about 20% of women of childbearing age [4, 5]. The condition leads to various consequences, including physical (cardio-pulmonary, genitourinary, neurological, gastrointestinal, and musculoskeletal disorders), psychological (mood, cognitive, and emotional disorders), behavioral (changes in sleep and eating patterns), and social (defective interpersonal relationships, sexual dysfunction, and social isolation) complications [6]. The related symptoms can significantly impact the quality of life of the affected women [7], especially during the premenstrual period [8]. Given the high importance of the quality of life assessment in patients with chronic problems [9], it is necessary to investigate the potential effect of various interventions on the quality of life of women suffering from PMS.

Our understanding of the cause and pathophysiology of PMS is not complete. A great deal of PMS is still unknown to us [10]. This condition is one of the most troublesome and common complaints of women at their visits to healthcare facilities for which there is no definitive cure [11]. Therefore, there is a need for effective and acceptable palliative methods with no or low side effects for women with this problem.

Some studies have reported the effectiveness of cognitive-behavioral therapy on PMS symptoms [12,13,14]. However, this method is not feasible for some women due to limitations, such as distance and time constraints and its cost-ineffectiveness [15]. We only found one study investigating the effect of internet-based cognitive-behavioral therapy (ICBT) on PMS. The study was conducted in Germany on women aged 18–45 years, reporting promising results [16]. Given the effect of social, cultural, and psychological factors on PMS [17], the results of ICBT interventions in one region cannot be generalized to other areas with different social and cultural backgrounds. Therefore, the present study aimed to investigate the effect of ICBT on symptom severity and quality of life of Iranian female university students suffering from PMS as the primary outcomes. Moreover, the PMS-related disability and attitude toward menstruation were investigated as the secondary outcomes.

Methods

Study design and participants

The present randomized controlled trial was approved by the Ethics Committee of the Tabriz University of Medical Sciences with the approval code of IR.TBZMED.REC.1398.014 and was registered prospectively at the Iranian Registry of Clinical Trials with the registration code of IRCT20100414003706N34. Participant recruitment was then conducted. We followed the CONSORT guidelines.

The inclusion criteria were healthy university students aged 18–35 years who lived in the residence halls of the Tabriz University of Medical Sciences (4 residence halls with approximately 1200 students) who had regular menstruation, a menstrual cycle duration of 25–35 days in the past 6 months, had moderate to severe PMS that the diagnosis was confirmed using the Daily Record of Severity of Problem (DRSP) for two menstrual cycles before inclusion into the study, and did not use any treatment for PMS or premenstrual dysphoric disorder (PMDD) currently.

Exclusion criteria were as follows: being a professional athlete, pregnancy, breastfeeding, a history of childbirth within the last year, major depression at the time of the study, a history of a major psychiatric disorder (psychosis, bipolar disorder, eating disorder, and severe depression), taking especial medications (antidepressants, benzodiazepines, anticancer drugs, oral contraceptives, or hormones) within the past three months, being affected with especial diseases (epilepsy or gastrointestinal, cardiovascular, renal, and endocrine disorders) at the time of the study, having experienced a highly stressful event (parental divorce or death of a first-degree family member) during the past 6 months, current or previous gynecological problems (previous hysterectomy, oophorectomy, gynecological cancer, polycystic ovary syndrome, endometriosis, and infertility), no access to the internet and mobile phones, and a history of drug, alcohol, or hookah use within the past two years.

The patients were assessed for major depression using the Beck questionnaire and the DRSP, while other exclusion criteria were applied based on the participants' self-reporting. Moreover, we tried to include some students from two private residence halls (with a total population of 225 students). However, those in charge did not cooperate with us. Therefore, we could not enroll any participants from the private resident halls.

Sample size

Considering the PMS scores from a previous study conducted in a similar study setting (M1 = 163.6, SD1 = 89.5) [18], an estimated reduction of 35% in the mean PMS score due to the intervention (M2 = 106.3, SD2 = SD1), two-sided α = 0.05, power = 80%, and 15% probability of loss to follow-up, the sample size was set at 92 (n = 46 for each group). This sample size was sufficient to meet other study objectives, with a power greater than 80%.

Recruitment and randomization

At first, the potential participants, which were selected using a checklist of initial eligibility criteria, completed the socio-demographic and reproductive questionnaire and a validated Persian version of the 19-item Premenstrual Symptoms Screening Tool (PSST) [19]. According to the PSST developers [20], the screening is positive when the woman reports at least five of 14 symptoms related to PMS. The reported symptoms must be moderate or severe, and at least one of them must be included in one of the four main symptoms of PMS. In addition, the symptoms must moderately to severely interfere with at least one of the five domains of life.

All participants with positive screening provided written informed consent. Then, they were asked to complete the DRSP during the following menstrual cycle. Moreover, they were asked to fill the validated Persian version of the 21-item Beck Depression Inventory [21] on one of the days of their mid-follicular phase (days + 7 to + 10 of the menstrual cycle). The participants with a score of 29 or higher on the Beck inventory [22] were diagnosed with major depression and were subsequently excluded from the study. The remaining participants were asked to complete the DRSP during a second menstrual cycle. Moreover, they filled the Sheehan Disability Scale (SDS) and the Menstrual Attitude Questionnaire (MAQ) on day 1 or 2 of the menstruation. Also, they filled the Quality of Life Enjoyment and Satisfaction Questionnaire—Short Form (Q-LES-Q-SF) twice, including one on days 1–2 and once on days 11–13 of the menstrual cycle. Participants with symptoms of major depression in the follicular phase based on the 2-cycle DRSP were also excluded.

The female students with moderate to severe PMS that was diagnosed based on the DRSP were finally included in the study. These participants were randomly allocated into the intervention and control groups using the block randomization method. The allocation sequence was generated with randomly varied block sizes of four and six and an allocation ratio of 1:1 using an online program (www.random.org). The sequence generation was performed by a person not involved in the participant recruitment and data collection. The central telephone method was used for allocation concealment, while participant recruitment was performed by the first author (SB).

Only one eligible participant was recruited from each room in the residence hall (each room usually had 3–6 students) to prevent contamination. Moreover, about 20% of the participants were not present in the residence hall during most of the study period because it was during the semester break or the university was closed due to the COVID-19 pandemic.

Intervention

The research team developed the educational content for eight sessions (one session per week) by reviewing all the literature, the intervention content of the previous study on this field [16], and the comments of some experts in reproductive health and psychology. The sessions' contents were mainly focused on the intervention content of the previous study in Germany [16]. For example, the general information on PMS/PMDD and the etiology were presented in the first session, while the last session included the instructions for the patients, such as the methods for relapse prevention. Both the cognitive and behavioral strategies were discussed in sessions 2 to 7. The cognitive strategies discussed in the sessions were as follows:

  • Session 2: Psychological training on the role of thoughts and their relationship with emotions and behavior (cognitive triangle)

  • Session 3: Changing the topic to PMS

  • Session 4: Reconstruction of dysfunctional perceptions

  • Session 5: Psychological training on certain superstitions about PMS and applying the cognitive strategies learned

  • Session 6: Psychological training on effective thoughts and developing new assessments

  • Session 7: Certain behaviors to improve PMS (use of healthcare, seeking support, and communication)

Moreover, the behavioral strategies discussed in the sessions were the following subjects:

  • Session 2: Psychological training on the relationship between stress and PMS and teaching relaxation techniques

  • Session 3: Psychological training on the interdependence between nutrition, exercise, and PMS

  • Session 4: How to integrate exercise into daily life using a motivational program and strategy

  • Session 5: What is a balanced diet and how to follow it in the daily life

  • Session 6: Psychological training on the impact of stress-related errors on reasoning

  • Session 7: Training on participating in positive activities in daily life

The participants were provided with audiovisual materials to help them learn practical exercises, such as relaxation techniques, exercises related to thought change, and physical exercises, including yoga.

When the educational content was prepared, the principal investigator (SB) designed a counseling course in the Learning Management System (LMS) website of the Tabriz University of Medical Sciences (Modular Object-Oriented Dynamic Learning Environment (MOODLE), https://moodle.org). The course was designed under the supervision of the person in charge (AA) of the LMS website of the university.

Special accounts were created for each member of the intervention group, and the account information was sent to them via e-mail, SMS, and one of the social media platforms they used. The intervention group received the contents in a scheduled manner. When any content was loaded on the website, the participants received an e-mail or SMS as a reminder. In addition, we created a telegram channel for them, through which we sent them daily reminders to visit the website and receive the educational content. Before the course, the participants were instructed on how to use the LMS website. Those who did not log in to their account within the first week of the course were reminded by telephone. Also, they could ask questions online and receive answers from the principal investigator (SB).

In order to check the treatment adherence, the participants were assigned homework at the end of each session and were supposed to submit their weekly feedback using the website or social media platforms. The participants with delays in sending feedback were reminded via SMS. Those who did not answer received phone calls. Also, all participants in the intervention group received calls from the principal investigator every two weeks to keep them motivated. In these calls, the principal investigator discussed the strategies with the participants, asked about the effectiveness of the strategies they used, received suggestions and criticisms, asked them to write their questions using the LMS website, and answered the questions.

The control group did not receive any intervention during the study period. After doing all post-test assessments, the accounts of the control group were created, and they received the intervention content.

Data collection tools

We used the Persian version of the following tools to evaluate the severity of PMS symptoms, quality of life, and PMS-related disability. The tools were not under license. Moreover, the attitude toward menstruation was assessed using the Menstrual Attitude Questionnaire (MAQ). We got written permission to translate it to Persian and validate it from the original developers via e-mail.

Researcher-made socio-demographic and reproductive questionnaire

The questionnaire was prepared using a literature review and included three parts: demographic characteristics, reproductive characteristics (including menstrual history), and contact information (Additional file 1). The face and content validity of the questionnaire was determined using the comments by ten experts.

Daily Record of Severity of Problems (DRSP)

This questionnaire is a valid scale widely used for PMS diagnosis. It consists of 21 items on 11 areas of PMS-related symptoms (depression, anxiety, mood lability, anger, interest, concentration, lethargy, appetite, sleep, overwhelm, and physical symptoms) and three impairment items. Each item is scored on a scale of 1 (not at all) to 6 (extreme) [23]. The questionnaire must be completed for at least two consecutive cycles. The PMS is confirmed if the individual has a score of 4 (moderate) or higher in 5 or more of the symptom areas for at least two days in the late luteal phase (days − 5 to − 1 of the menstrual cycle). The score of 4 or higher should be in at least one of the items assessing depression, anxiety, affective lability, or anger/irritability, and at least one of the three impairment items. However, the individual must not have a mean score of 4 or higher in any of the symptom areas during the mid-follicular phase (days + 6 to + 10 of the menstrual cycle) [24].

In a study by Ozgoli et al., the internal consistency of the Persian version of this scale was good (Cronbach's alpha = 0.80) [25]. In the present study, the scale's reliability was also confirmed, with a Cronbach's alpha equal to 0.97 for the total scale and 0.82–0.91 for the domains. In addition, the test–retest agreement was good for the total DRSP, with an intraclass correlation coefficient (ICC) of 0.815 (95% CI 0.720 to 0.878).

Quality of Life Enjoyment and Satisfaction Questionnaire—Short Form (Q-LES-Q-SF)

This unidimensional scale includes 14 items and assesses the quality of life during the last week. The reliability of the Persian version of this questionnaire has been confirmed in the university students in Kashan (ICC = 0.97–0.98, Cronbach's alpha = 0.93) [26] and Tabriz (Cronbach's alpha = 0.887–0.937) [8].

Women suffering from PMS have different levels of quality of life during the perimenstrual period compared to the late follicular phase of menstrual cycle [8]. Therefore, the participants filled the questionnaire twice, including once at days 1–2 and once at days 11–13 of the menstrual cycle. The internal consistency of the scale was good for both assessments (Cronbach's alpha = 0.86 and 0.85, respectively). The test–retest agreement (between the two pre-intervention assessments) was good as well (ICC = 0.783, 95% CI; 0.672 to 0.856).

Sheehan Disability Scale (SDS)

This questionnaire is a self-report scale on disability and dysfunction [27] that evaluates the disturbances in three areas of work/school, social life, and family life/home responsibilities using a 0–10 visual analogue scale [28]. In the present study, we combined the scores of these three areas to obtain a total SDS score [29]. The Persian version of the scale has good internal consistency (Cronbach's alpha = 0.88) [28]. Its reliability in the present study was confirmed as well (Cronbach's alpha = 0.67).

Menstrual Attitude Questionnaire (MAQ)

This questionnaire includes 33 items in 5 domains, with 5–7 items in each domain [30]. After preparing the Persian version using the forward–backward translation of the English version, its content and face validity were determined using the comments by ten experts. In the present study, its internal consistency was confirmed for all domains (Cronbach's alpha = 0.66–0.83, menstruation as a debilitating event = 0.82, menstruation as a bothersome event = 0.79, menstruation as a natural event = 0.83, anticipation and prediction of the onset of menstruation = 0.66, denial of any effect of menstruation = 0.66).

Participant satisfaction and views on intervention effectiveness

The participants' satisfaction with the intervention was assessed using a question scored on a 5-point Likert scale (from "very satisfied" to "very dissatisfied"), while their opinions on the effectiveness of intervention were assessed using another question scored on a 6-point Likert scale (from "not at all" to "very high").

Pre-intervention assessments were already described in the sub-section of "participant recruitment." Following the 2-month intervention period, all participants in the intervention and control groups completed the DRSP during the subsequent two cycles. Moreover, they completed the Q-LES-Q-SF, SDS, and MAQ in the third month after the allocation, at the same days of the menstrual cycle that the baseline questionnaires were filled. Also, when the intervention was over, the intervention group reported their satisfaction levels with the intervention and their opinions on its effectiveness. Most questionnaires were filled online for higher accessibility.

Data analysis

Data analysis was performed using the SPSS version 25. The normal distribution of quantitative variables was confirmed using the one-sample Kolmogorov–Smirnov test in each group. The univariate general linear models were used for intergroup comparisons of the post-intervention assessment values, which were adjusted for the baseline values. The significance level for the three primary outcomes was considered at α = 0.017 because the multiple comparisons were corrected using the Bonferroni correction method. However, the significance level for other comparisons was considered at α = 0.05. Also, we used the modified intention-to-treat (ITT) analysis and excluded the four participants lost to follow-up.

Results

The participants were recruited from June 2019 to January 2020, and data collection was ended in June 2020. Of a total of 679 students screened, 92 students were eligible and agreed to participate in the study. Each group included 46 participants. Four students in the intervention group were lost to follow-up and were excluded from the analyses (Fig. 1).

Fig. 1
figure 1

Study flow diagram. PMS, premenstrual syndrome; PSST, Premenstrual Symptoms Screening Tool; DRSP, Daily Record of Severity of Problems; SDS, Sheehan Disability Scale; MAQ, Menstrual Attitude Questionnaire; QLES-Q-SF, Quality of Life Enjoyment and Satisfaction Questionnaire Form

Full size image

The two groups were not significantly different in demographic and reproductive characteristics (Table 1), pre-test scores of symptom severity (except physical symptoms), quality of life, and attitude towards menstruation (Table 2). The participants' mean age was 22.1 years (SD 2.7) and their mean body mass index was 21.9 kg/m2 (SD 2.5). Moreover, 10% of the participants were married. The mean score of baseline PMS symptoms was 20.3 (SD 10.5).

Table 1 Baseline characteristics of participants by the study groups
Full size table
Table 2 Comparison of the outcomes between the study groups
Full size table

Primary outcomes

Table 2 shows the outcomes. According to the results of the univariate general linear models adjusted for the baseline values, the mean score of total PMS symptoms was significantly lower in the intervention group than in the control group after the intervention (10.4 vs. 20.2, adjusted difference: − 9.9, 95% CI − 13.3 to − 6.6, P < 0.001), while the mean score of perimenstrual quality of life was significantly higher (64.2 vs. 50.3, adjusted difference; 14.1, 95% CI 8.5 to 19.8). However, there was no significant intergroup difference in the quality of life during the late follicular phase (68.3 vs. 67.3, adjusted difference: 1.9, 95% CI − 4.4 to 8.1).

Secondary outcomes

According to the results of the univariate general linear models adjusted for the baseline values, all the sub-scales of DRSP and PMS-related disability, which was assessed using the SDS, were significantly different between the groups after the intervention (P < 0.001 for all, except physical symptoms with P = 0.041). Moreover, the mean scores of all MAQ domains were significantly better in the intervention group than in the control group after the intervention (P < 0.05, except the “anticipation and prediction of the onset of menstruation” with P = 0.059, Table 2). Also, the single questions scored based on the Likert scale indicated that all students of the intervention group were satisfied with the ICBT course and declared that their symptoms had improved post-intervention.

Discussion

According to our results, ICBT significantly reduced the severity of PMS-related symptoms and PMS-related disability, while it improved the quality of life during the premenstrual period (days − 5 to + 2 of the menstrual cycle) and attitude toward menstruation in the female university students with PMS. However, it did not significantly affect the quality of life in the late follicular phase (about days + 5 to + 12 of the menstrual cycle).

Our results on the effectiveness of ICBT on PMS-related symptoms are compatible with the similar trial conducted in Germany on women with PMDD [31]. Other trials conducted in Iran also reported the effectiveness of internet-based programs on reducing the severity of PMS symptoms [32, 33] and on improving general health of the affected individuals [33]. However, the approaches used and intervention duration were not reported in these studies. Also, another trial in Iran [34] showed the improving effect of 10 weekly sessions of cognitive-behavioral group therapy with the duration of 90 min. The sessions were not internet-based and were held by two clinical psychologists for the students suffering from PMS in order to improve their health-related quality of life.

The effectiveness of ICBT on PMS patients can partly be explained by the efficacy of this intervention in changing the attitudes of the affected individuals toward menstruation. A study in Turkey showed that the women suffering from PMS had a significantly higher score in the debilitation subscale and a significantly lower score in the denial subscale of the MAQ than the women without PMS [35]. We also observed that this intervention could improve the scores of the patients in the MAQ subscales, thereby improving their attitudes toward menstruation.

The significant effect of the study intervention on quality of life during the perimenstrual period, as well as its insignificant effect on the quality of life during the late follicular phase, seems logical because the intervention could reduce the severity of premenstrual symptoms, resulting in improved quality of life during the related period. Consistent with the results of another study conducted by the same team [8], in this study, the baseline mean score of quality of life was already significantly higher in the late follicular period than in the perimenstrual period.

Due to the nature of the study, it was not possible to blind the participants, healthcare providers, and outcome assessors, who were also the participants. However, it seems that the risk of different biases was low. Achieving consistent results using several validated and prospective tools for consequence assessment and the insignificant effect of the intervention on the quality of life during the late follicular phase suggested the low level of detection bias in the present study. Also, we had a few participants lost to follow-up. Therefore, the plausible effect size was insufficient to exert a clinically relevant effect on the outcomes. Thus, the risk of attrition bias was low as well.

Contrary to our previous plans, we could not recruit any participants from the private residence halls due to the lack of cooperation of the persons in charge. However, the participant allocation was properly randomized and concealed, so there was no selection bias. Also, excluding the students in private residence halls had little or no effect on the generalizability of the results because just a small percentage (15%) of students lived in the private residence halls, and their clinical and demographic characteristics were not significantly different from those living in public residence halls.

We tried to minimize contamination by recruiting only one person from each room in the residence halls, creating a separate account for each participant in the intervention group, and notifying them not to share the content with others until the end of the study.

Given the obtained results, including the intervention effectiveness, high acceptability of the method, low attrition, and high levels of participant satisfaction with the intervention, it seems that the ICBT can be used as a suitable non-pharmacological option for alleviating the PMS symptoms and improving the quality of life of the sufferers. More than 80% of the world's adult population are literate [36], with about 50% of the female population having access to the internet [37]. The data of the 2016 census in Iran showed that 94% of Iranian women of reproductive age were literate, and 55% had 12 years of education (27%) or higher (28%) [38]. Moreover, two-thirds (66%) of Iranian women used the internet [39], and almost 80% of households had access to the internet [40]. Therefore, most women suffering from PMS throughout the world, including Iran, can use internet-based therapies.

Internet-based therapies have some benefits over face-to-face counseling sessions. For example, there is no need for the patients to attend a therapy session in a specific location. Thus, the traveling expenses and time waste are reduced [41,42,43]. The educational content is available 24 h a day [44], and the participants can review the contents several times so that the possibility of forgetting the learned topics is minimized [45]. It encourages self-care [46] and provides the possibility of confidential communication with the system administrator [44, 47].

We did not follow the participants more than two menstrual cycles after the end of the intervention. Thus, it is not possible to comment on the long-term effectiveness of the intervention. In addition, the study participants included only medical students, so results may not be generalized to other populations. Therefore, it is suggested to conduct further studies with longer follow-up durations on other populations, such as students in other fields, non-student women, or women of different ages. Also, we recommend investigating the impact of such interventions on the quality of life of the family members, such as husbands, of these women in future studies.

Conclusions

The present study showed that ICBT could reduce the severity of PMS symptoms and improve the quality of life of the affected individuals during the perimenstrual period. However, it had no significant effect on the quality of life during the late follicular phase. In addition, this intervention could improve the attitudes toward menstruation. It is recommended that health policymakers and managers develop policies to use ICBT for women suffering from PMS, especially in situations like the Covid-19 pandemic.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Abbreviations

PMS:

Premenstrual syndrome

ICBT:

Internet-based cognitive-behavioral therapy

DRSP:

Daily Record of Severity of Problems

Q-LES-Q-SF:

Quality of Life Enjoyment and Satisfaction Questionnaire—Short Form

PMDD:

Premenstrual dysphoric disorder

PSST:

Premenstrual Symptoms Screening Tool

SDS:

Sheehan Disability Scale

MAQ:

Menstrual Attitude Questionnaire

ICC:

Intraclass correlation coefficient

References

  1. Sigmon ST, Craner J, Yoon KL, Thorpe GL. Premenstrual syndrome (PMS). In: Ramachandran VS, editor. Encyclopedia of human behaviour. 2nd ed. San Diego: Academic Press; 2012. p. 167–73.

    Chapter  Google Scholar 

  2. Sadock BJ, Sadock VA, Ruiz P. Kaplan and Sadock’s synopsis of psychiatry: behavioral sciences/clinical psychiatry. 11th ed. Philadelphia: Walters Kluwer; 2015.

    Google Scholar 

  3. American College of Obstetricians and Gynecologists. Premenstrual Syndrome (PMS). https://www.acog.org/Patients/FAQs/Premenstrual-Syndrome-PMS. Updated May 2015.

  4. Yonkers KA, O’Brien PS, Eriksson E. Premenstrual syndrome. Lancet. 2008;371:1200–10. https://doi.org/10.1016/S0140-6736(08)60527-9.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Potter J, Bouyer J, Trussell J, Moreau C. Premenstrual syndrome prevalence and fluctuation over time: results from a French population-based survey. J Womens Health (Larchmt). 2009;18:31–9. https://doi.org/10.1089/jwh.2008.0932.

    Article  Google Scholar 

  6. Siahbazi S, Montazeri A, Taghizadeh Z, Masoomie R. The consequences of premenstrual syndrome on the quality of life from the perspective of affected Women: a qualitative study. J Res Med Dent Sci. 2018;6:284.

    Google Scholar 

  7. Dennerstein L, Lehert P, Bäckström TC, Heinemann K. The effect of premenstrual symptoms on activities of daily life. Fertil Steril. 2010;94:1059–64. https://doi.org/10.1016/j.fertnstert.2009.04.023.

    Article  PubMed  Google Scholar 

  8. Quick F, Mohammad-Alizadeh-Charandabi S, Mirghafourvand M. Primary dysmenorrhea with and without premenstrual syndrome: variation in quality of life over menstrual phases. Qual Life Res. 2019;28:99–107. https://doi.org/10.1007/s11136-018-1999-9.

    Article  PubMed  Google Scholar 

  9. Sutcliffe J, Holmes S. Quality of life: verification and use of a self-assessment scale in two patient populations. J Adv Nurs. 1991;16:490–8. https://doi.org/10.1111/j.1365-2648.1991.tb03440.x.

    Article  PubMed  CAS  Google Scholar 

  10. Appleton SM. Premenstrual syndrome: evidence-based evaluation and treatment. Clin Obstet Gynecol. 2018;61:52–61. https://doi.org/10.1097/GRF.0000000000000339.

    Article  PubMed  Google Scholar 

  11. Reid RL, Soares CN. Premenstrual dysphoric disorder: contemporary diagnosis and management. J Obstet Gynaecol Can. 2018;40(2):215–23. https://doi.org/10.1016/j.jogc.2017.05.018.

    Article  PubMed  Google Scholar 

  12. Kancheva Landolt N, Ivanov K. Short report: cognitive behavioral therapy—a primary mode for premenstrual syndrome management: systematic literature review. Psychol Health Med. 2020;26:1–12. https://doi.org/10.1080/13548506.2020.1810718.

    Article  Google Scholar 

  13. Shoaee F, Pouredalati M, Dadshahi S, Parvin P, Bolourian M, Kiani A, et al. Evaluation of non-pharmacological strategies, therapeutic and cognitive-behavioral interventions in the treatment of premenstrual syndrome: a review study. Int J Pediatr. 2020;8(2):10929–39. https://doi.org/10.22038/ijp.2020.46333.3771.

    Article  CAS  Google Scholar 

  14. Başoğul C, Aydın Özkan S, Karaca T. The effects of psychoeducation based on the cognitive-behavioral approach on premenstrual syndrome symptoms: a randomized controlled trial. Perspect Psychiatr Care. 2020;56:515–22. https://doi.org/10.1111/ppc.12460.

    Article  PubMed  Google Scholar 

  15. Mohr DC, Ho J, Duffecy J, Reifler D, Sokol L, Burns MN, et al. Effect of telephone-administered vs face-to-face cognitive behavioral therapy on adherence to therapy and depression outcomes among primary care patients: a randomized trial. JAMA. 2012;307:2278–85. https://doi.org/10.1001/jama.2012.5588.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Kues JN, Janda C, Kleinstauber M, Weise C. Internet-based cognitive behavioural self-help for premenstrual syndrome: study protocol for a randomised controlled trial. Trials. 2014;15:472. https://doi.org/10.1186/1745-6215-15-472.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Jacobson JD. Premenstrual syndrome. In: Medical encyclopedia. MedlinePlus. 1998. https://medlineplus.gov/ency/article/001505.htm. Updated 19 Apr 2018.

  18. Mirghafourvand M, Malakouti J, Charandabi SMA, Khalili AF, Homayi SG. The efficacy of lemon balm (Melissa officinalis L.) alone and combined with lemon balm—Nepeta menthoides on premenstrual syndrome and quality of life among students: a randomized controlled trial. J Herb Med. 2016;6:142–8. https://doi.org/10.1016/j.hermed.2016.07.001.

    Article  Google Scholar 

  19. Hariri FZ, Moghaddam-Banaem L, Siah Bazi S, Saki Malehi A, Montazeri A. The Iranian version of the Premenstrual Symptoms Screening Tool (PSST): a validation study. Arch Womens Ment Health. 2013;16:531–7. https://doi.org/10.1007/s00737-013-0375-6.

    Article  PubMed  Google Scholar 

  20. Steiner M, Macdougall M, Brown E. The Premenstrual Symptoms Screening Tool (PSST) for clinicians. Arch Womens Ment Health. 2003;6:203–9. https://doi.org/10.1007/s00737-003-0018-4.

    Article  PubMed  CAS  Google Scholar 

  21. Ghassemzadeh H, Mojtabai R, Karamghadiri N, Ebrahimkhani N. Psychometric properties of a Persian-language version of the Beck Depression Inventory—second edition: BDI-II-PERSIAN. Depress Anxiety. 2005;21:185–92. https://doi.org/10.1002/da.20070.

    Article  PubMed  Google Scholar 

  22. Raesian AS, Golzari M, Borjali A. Effectiveness of hope therapy on reducing depressive symptoms and preventing of relapse in cure-seeker women with dependency to narcotic drugs. J Res Addict. 2011;5:21–40 (Persian).

    Google Scholar 

  23. Borenstein JE, Dean BB, Yonkers KA, Endicott J. Using the daily record of severity of problems as a screening instrument for premenstrual syndrome. Obstet Gynecol. 2007;109:1068–75. https://doi.org/10.1097/01.AOG.0000259920.73000.3b.

    Article  PubMed  Google Scholar 

  24. Endicott J, Nee J, Harrison W. Daily Record of Severity of Problems (DRSP): reliability and validity. Arch Womens Ment Health. 2006;9:41–9. https://doi.org/10.1007/s00737-005-0103-y.

    Article  PubMed  CAS  Google Scholar 

  25. Ozgoli G, Shahveh M, Esmaielli S, Nassiri N. Essential oil of Citrus sinensis for the treatment of premenstrual syndrome; a randomized double-blind placebo-controlled trial. J Reprod Infertil. 2011;12:123–30 (Persian).

    Google Scholar 

  26. Tagharrobi Z, Sharifi K, Sooky Z, Tagharrobi L. Psychometric evaluation of the Iranian version of Quality of Life Enjoyment and Satisfaction Questionnaire Short Form (Q-LES-QSF). Payesh. 2012;11:235–44 (Persian).

    Google Scholar 

  27. Sheehan DV, Harnett-Sheehan K, Raj BA. The measurement of disability. Int Clin Psychopharmacol. 1996;11(Suppl 3):89–95. https://doi.org/10.1097/00004850-199606003-00015.

    Article  PubMed  Google Scholar 

  28. Amin-Esmaeili M, Motevalian A, Rahimi-Movaghar A, Hajebi A, Hefazi M, Radgoodarzi R, Sharifi V. The translation and psychometric assessment of the persian version of the sheehan disability scale. Iran J Psychiatry. 2014;9:125–32.

    PubMed  PubMed Central  Google Scholar 

  29. Rush AJ, First MB, Blacker D. Handbook of psychiatric measures. 2nd ed. Washington (DC): American Psychiatric Publication; 2008.

    Google Scholar 

  30. Brooks-Gunn J, Ruble DN. The menstrual attitude questionnaire. Psychosom Med. 1980;42:503–12. https://doi.org/10.1097/00006842-198009000-00005.

    Article  PubMed  CAS  Google Scholar 

  31. Weise C, Kaiser G, Janda C, Kues J, Andersson G, Strahler J, et al. Internet-based cognitive-behavioural intervention for women with premenstrual dysphoric disorder: a randomized controlled trial. Psychother Psychosom. 2019;88:16–29. https://doi.org/10.1159/000496237.

    Article  PubMed  Google Scholar 

  32. Karami J, Zabet M, Rahmani S, Zalipour S. The effect of webotherapy on premenstrual syndrome. Nurs Midwifery J. 2016;13:1016–21 (Persian).

    Google Scholar 

  33. Bastani F, Hashemi S. Effects of a web based lifestyle education on general health and severity of the symptoms of Premenstrual Syndrome (PMS) among female students: a randomized controlled trial. Procedia Soc Behav Sci. 2012;46:3356–62. https://doi.org/10.1016/j.sbspro.2012.06.066.

    Article  Google Scholar 

  34. Izadi-Mazidi M, Davoudi I, Mehrabizadeh M. Effect of group cognitive-behavioral therapy on health-related quality of life in females with premenstrual syndrome. Iran J Psychiatry Behav Sci. 2016;10: e4961. https://doi.org/10.17795/ijpbs-4961.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Guvenc G, Kilic A, Akyuz A, Ustunsoz A. Premenstrual syndrome and attitudes toward menstruation in a sample of nursing students. J Psychosom Obstet Gynaecol. 2012;33:106–11. https://doi.org/10.3109/0167482X.2012.685906.

    Article  PubMed  Google Scholar 

  36. O'Neill A. Global literacy rate 1976–2016. 2019. https://www.statista.com/statistics/997360/global-adult-and-youth-literacy/. Cited 3 Mar 2021.

  37. Johnson J. Global internet usage rate by gender and market 2019. 2021. https://www.statista.com/statistics/333871/gender-distribution-of-internet-users-worldwide/. Cited 3 Mar 2021.

  38. Statistical Center of Iran: 2% Raw data of the national population and housing census 2016 [individual file]. https://www.amar.org.ir/%D8%B3%D8%B1%D8%B4%D9%85%D8%A7%D8%B1%DB%8C-%D8%B9%D9%85%D9%88%D9%85%DB%8C-%D9%86%D9%81%D9%88%D8%B3-%D9%88-%D9%85%D8%B3%DA%A9%D9%86/%D9%86%D8%AA%D8%A7%DB%8C%D8%AC-%D8%B3%D8%B1%D8%B4%D9%85%D8%A7%D8%B1%DB%8C. Cited 3 Mar 2021.

  39. International Telecommunication Union. Gender ICT statistics. https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx. Cited 3 Mar 2021.

  40. International Telecommunication Union. Core indicators on access to and use of ICT by households and individuals. https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx. Cited 3 Mar 2021.

  41. Otten E, Birnie E, Ranchor AV, van Langen IM. Online genetic counseling from the providers’ perspective: counselors’ evaluations and a time and cost analysis. Eur J Hum Genet. 2016;24:1255–61. https://doi.org/10.1038/ejhg.2015.283.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Wootton R, Tait A, Croft A. Environmental aspects of health care in the Grampian NHS region and the place of telehealth. J Telemed Telecare. 2010;16:215–20. https://doi.org/10.1258/jtt.2010.004015.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Russo JE, McCool RR, Davies L. VA telemedicine: an analysis of cost and time savings. Telemed J E Health. 2016;22:209–15. https://doi.org/10.1089/tmj.2015.0055.

    Article  PubMed  Google Scholar 

  44. Harris B, Birnbaum R. Ethical and legal implications on the use of technology in counselling. Clin Soc Work J. 2014;43:133–41. https://doi.org/10.1007/s10615-014-0515-0.

    Article  Google Scholar 

  45. Tirel M, Rozgonjuk D, Purre M, Elhai J. When do people seek internet counseling? Exploring the temporal patterns of initial submissions to online counseling services. J Tech Hum Serv. 2020;38:184–202. https://doi.org/10.1080/15228835.2018.1561348.

    Article  Google Scholar 

  46. Barbosa EM, Sousa AA, Vasconcelos MG, Carvalho RE, Oriá MO, Rodrigues DP. Educational technologies to encourage (self) care in postpartum women. Rev Bras Enferm. 2016;69:582–90. https://doi.org/10.1590/0034-7167.2016690323i (English, Portuguese).

    Article  PubMed  Google Scholar 

  47. Young KS. An empirical examination of client attitudes towards online counseling. Cyberpsychol Behav. 2005;8:172–7. https://doi.org/10.1089/cpb.2005.8.172.

    Article  PubMed  Google Scholar 

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Acknowledgements

The present paper was extracted from a Master's thesis registered on June 19, 2019, in the Iranian Registry of Clinical Trials prospectively with the registry code of IRCT20100414003706N34 (https://en.irct.ir/trial/38394). We would like to acknowledge the officials of the residence halls for their support, as well as the students who agreed to participate in this study.

Funding

This work was sponsored by the Tabriz University of Medical Sciences (grant number: 62582, 2019). The sponsor had no role in the study design, data collection, analysis or interpretation of the data, writing the manuscript, or manuscript submission for publication.

Author information

Authors and Affiliations

  1. Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran

    Sanam Borji-Navan

  2. Social Determinants of Health Research Centre, Department of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, South Shariati Street, Tabriz, 5137975846, Iran

    Sakineh Mohammad-Alizadeh-Charandabi

  3. Department of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran

    Khalil Esmaeilpour

  4. Clinical Research Development Unit, Imam Reza General Hospital, Tabriz University of Medical Sciences, Tabriz, Iran

    Mojgan Mirghafourvand

  5. Education Development Center, Tabriz University of Medical Sciences, Tabriz, Iran

    Ali Ahmadian-Khooinarood

Authors
  1. Sanam Borji-Navan
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  2. Sakineh Mohammad-Alizadeh-Charandabi
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  3. Khalil Esmaeilpour
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  4. Mojgan Mirghafourvand
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Contributions

All authors contributed to the study's conception, study design, and manuscript revision and approved the final manuscript. In addition, SB had roles in content preparation, intervention implementation, participant recruitment, data collection, data analysis, and draft writing. SM supervised the project and contributed to content preparation and data analysis. Moreover, she wrote some parts of the manuscript. KHE contributed to content preparation and intervention administration. Finally, MM contributed to content preparations, while AA contributed to the intervention administration. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sakineh Mohammad-Alizadeh-Charandabi.

Ethics declarations

Ethics approval and consent to participate

The Ethics Committee of the Tabriz University of Medical Sciences approved our study protocol with the ethics code of IR.TBZMED.REC.1398.014. We followed all the ethical principles of the World Medical Association Declaration of Helsinki for medical research involving human subjects. We obtained written informed consent from all study participants before their recruitment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1:

Researcher-made demographic and reproductive questionnaire

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Borji-Navan, S., Mohammad-Alizadeh-Charandabi, S., Esmaeilpour, K. et al. Internet-based cognitive-behavioral therapy for premenstrual syndrome: a randomized controlled trial. BMC Women's Health 22, 5 (2022). https://doi.org/10.1186/s12905-021-01589-7

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Keywords

BMC Women's Health

ISSN: 1472-6874

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