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Article

Association between Childhood Maltreatment History and Premenstrual Syndrome

1
Cocokara Women’s Clinic, Nagoya 461-0001, Japan
2
Department of Global Health Promotion, Tokyo Medical and Dental University (TMDU), Tokyo 113-8519, Japan
3
Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(2), 781; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020781
Submission received: 19 November 2020 / Revised: 13 January 2021 / Accepted: 13 January 2021 / Published: 18 January 2021

Abstract

:
Childhood maltreatment history has known relationships with various mental and physical diseases; however, little is known about its association with premenstrual syndrome (PMS). In this study, we investigated the association between childhood maltreatment history and PMS among young women in Japan. In a Japanese city, we approached 3815 women aged 10–60 years who visited a gynecology clinic and one general practice clinic. A questionnaire on childhood maltreatment history and PMS was administered to them. We observed that women with histories of childhood maltreatment demonstrated a significantly increased risk of PMS compared with those without such histories (odds ratio: 1.47, 95% confidence interval: 1.20–1.81). Particularly, women with childhood physical or emotional abuse demonstrated a stronger association with PMS, whereas other forms of childhood maltreatment (emotional neglect, witnessing of intimate-partner violence, or sexual abuse) were not associated with PMS. Our results illustrate that childhood maltreatment may be a risk factor for PMS.

1. Introduction

Mental and physical symptoms of premenstrual syndrome (PMS) have a significant impact on women, incurring a substantial public health burden [1]. PMS is a complex disorder characterized by mood changes such as irritability, depression, and physical symptoms limited to 7–14 days before the onset of the late luteal phase of the menstrual cycle [2]. Some authors suggest that PMS is not a fixed unitary syndrome but rather a diagnostic label that is socially applied to negative premenstrual changes, which may be specific to westernized cultures [3]. Thus, epidemiological surveys are needed to capture the prevalence of PMS in different contexts. In Japan, approximately 75–95% of women are reported to experience PMS during their reproductive life [4,5]. Furthermore, approximately 5% of women are known to experience severe symptoms of PMS, which affect their personal and social relationships or work [6]. In the United States, the annual cost per woman who suffers from PMS was estimated to be USD 5000 [7]. However, these figures are underestimated; this is because a large proportion of cases go undiagnosed due to the difficulties encountered by clinicians during diagnosis and the tendency of many women to not consult a doctor for PMS-related symptoms [4,8].
The known risk factors for PMS are hormonal changes, stress, serotonergic dysfunction, and unhealthy behaviors, such as lack of exercise, short sleep duration, or poor diet [9]. However, we chose to investigate childhood maltreatment as a risk factor of PMS because childhood maltreatment histories are known to be related to various mental and physical diseases [10,11,12]. For example, Felitti et al. reported that people who had experienced at least four different types of childhood maltreatment had a 4- to 12-fold increase in health risks for alcoholism, drug abuse, depression, and suicide, compared with those who had experienced no such episodes [11]. Several studies have investigated the association between childhood maltreatment history (emotional, physical, and sexual abuse) and PMS in different races [13]. For example, using the Nurses’ Health Study in the United States, women reporting the highest level of emotional abuse were found to have 2.6-times the risk of PMS compared with those reporting none [14]. Although this finding is robust, it may not be generalizable to all women because nurses may remember their childhood maltreatment history or express PMS symptoms differently than women who are not trained in clinical settings.
To date, most studies conducted on this topic have been limited to either case reports or those with relatively small sample sizes; hence, we decided to investigate a larger cohort. Beyond this, we felt it was important to extend the study of the association between childhood maltreatment history and PMS to other cultures, such as Japan, where the prevalence of domestic violence, abuse, and sexual abuse is lower than that in the United States [15].
Thus, the present study investigates the association between childhood maltreatment and PMS among women in a clinical setting in Japan.

2. Materials and Methods

2.1. Participants

This study is a case–control study. In Nagoya City in Aichi Prefecture, Japan, we targeted all female patients (aged 10–60 years) who visited Cocokara Women’s Clinic (gynecology) and Cocokara Heart Clinic (psychiatry and general internal medicine) between April 2016 and May 2018 (a total of 3940 women). Upon their first visit to each clinic, an additional questionnaire was administered to the target patients along with the questionnaire on demographic characteristics. Patients sought consultation not only for the treatment of symptoms, such as menstrual cramps and irregular menstruation, but also for other reasons, including cervical cancer screening, breast cancer screening, and vaccination. Thus, we were able to administer the questionnaire to individuals without gynecological diseases.
We collected the responses of 3815 women but excluded those with missing information concerning the presence or absence of PMS symptoms (including those without information on menses) and those that had missing information in all questions relating to childhood maltreatment history.

2.2. Measurements

2.2.1. Assessment of PMS

According to the Japanese Society of Obstetrics and Gynecology, PMS is defined as a “mental or physical symptom lasting from 3 to 10 days before menstruation, which diminishes or disappears with menstruation” [16]. Although the definition and onset frequency of PMS differ between Japan and the United States, the American College of Obstetrics and Gynecology (ACOG) PMS diagnostic criteria are often utilized in Japan [17]. Thus, using the ACOG definition, we asked the following 12 questions concerning the diagnosis of PMS: “Of the following symptoms, select all that lasted for 3 to 13 days before menstruation in the previous 3 menstrual cycles: (1) depressed mood (feeling of depression), (2) increased anger, (3) frustration, (4) anxiety, (5) confusion, (6) withdrawal from housework and work (taking time off from school or work), (7) breast tightness, (8) abdominal fullness (abdominal pain), (9) headache, (10) edema, (11) lower-back pain (joint or muscle pain), and (12) weight gain.” Women who responded affirmatively to at least one question were indicated as having PMS.

2.2.2. Childhood Maltreatment History

To assess childhood maltreatment history, five questions were asked with responses given on a 4-point Likert scale: 4 = “strongly agree,” 3 = “somewhat agree,” 2 = “somewhat disagree,” and 1 = “strongly disagree.” We defined childhood maltreatment as responses of 3 or 4. The following questions were asked: “My parent/s did not take care of me,” “There was intimate-partner violence (IPV) at home,” “I was physically abused, such as hitting or kicking by my parent/s,” “I was psychologically abused, such as being told terrible things by my parent/s,” and “I experienced any type of sexual trauma from an acquaintance when I was a child.” The questions were developed based on previous studies of adverse childhood experiences in Japan [11,18,19,20,21].

2.2.3. Covariates

The questionnaire also included questions about marital status, living with a child or children, smoking, alcohol consumption, economic hardship, and domestic violence. Marital status was determined by the following question: “Please state your marriage history.” Respondents answered using “1 = unmarried,” “2 = married or common-low marriage,” “3 = divorce,” “4 = bereavement,” or “5 = others.” Respondents were categorized into the following three groups: “never married,” “married,” and “divorced, widowed, and others.” Economic hardship was assessed based on self-reporting and dichotomized into two groups: “stable” and “unstable.” Domestic violence was described using the following two questions: “Are you currently experiencing physical or psychological abuse from your partner?” and “Were you physically or psychologically abused by your partner in the past?” with a dichotomous Yes/No response item.

2.3. Statistical Analysis

Multiple logistic regression analyses were performed to determine the effect of childhood maltreatment history upon PMS. After estimating a bivariate model, age was added to the covariates in Model 1. Moreover, marital status, living with a child or children, smoking, alcohol, economic hardship, and domestic violence were incorporated into Model 2. All analyses were conducted using Stata 14 software in 2019 (Stata Statistical Software: Release 14; StataCorp LLC, College Station, TX, USA).

3. Results

3.1. Summary of the Demographic Characteristics of The Study Participants

Table 1 summarizes the study participants’ demographic characteristics. The participants had a mean age of 35.1 (standard deviation (SD) 10.3) years. Approximately half of the women were never married (51.5%), and approximately a quarter were living with a child or children (26.8%). Furthermore, most women had never smoked (73.9%), were not taking alcohol (65.1%), did not experience economic hardship (56%), and did not experience domestic violence (90.0%). Those who experienced childhood maltreatment comprised 24.1%; they were more likely to be divorced or widowed, to have smoked at some point in their lives, to have experienced domestic violence, and to have suffered economic hardship than those who did not.

3.2. Bivariate and Multivariate Associations between Childhood Maltreatment History and PMS

Table 2 summarizes the bivariate and multivariate associations between childhood maltreatment history and PMS via multivariate-regression analysis using all data. In the crude model, those who experienced childhood maltreatment were 1.39 times more likely to have PMS (odds ratio (OR) = 1.39, 95% confidence interval (CI) = 1.15–1.68) than those who did not. Furthermore, even adjusting for age, those who experienced childhood maltreatment were more likely to have PMS (OR = 1.51, 95% CI = 1.25–1.84) than those who did not (Model 1). As shown in Model 2, there was slight OR attenuation (OR = 1.47, 95% CI = 1.20–1.81) when adjustments were made for age, marital status, living with a child or children, smoking, alcohol, economic hardship, and domestic violence.

3.3. Bivariate and Multivariate Associations between The Number of Types of Childhood Maltreatment and PMS

Table 3 summarizes the bivariate and multivariate associations between the number of types of childhood maltreatment and PMS. In the crude model, we observed that the OR associated with having PMS significantly increased for higher numbers of types of childhood maltreatment. The OR was 1.71 (95% CI = 1.20–2.44) for those who experienced two types of childhood maltreatment, whereas it was 1.62 (95% CI = 1.16–2.27) for those having experienced at least three types of child maltreatment. Notably, the association remained significant even after age adjustment.

3.4. Bivariate and Multivariate Associations between Each Type of Childhood Maltreatment History and PMS

Table 4 summarizes the bivariate and multivariate associations between each type of childhood maltreatment and PMS. Physical and emotional abuse were found to be significantly associated with PMS. As demonstrated in the crude model, those who experienced physical abuse were more likely to have PMS (OR = 1.95, 95% CI = 1.43–2.67) than those who did not. In Model 2, after adjusting for other covariates, those who experienced physical abuse remained more likely to have PMS (OR = 2.02, 95% CI = 1.47–2.79) than those who did not. Additionally, the adjusted model shows that those who experienced emotional abuse were also more likely to have PMS (OR = 1.62, 95% CI = 1.29–2.03) than those who did not. Experiences of emotional neglect, witnessing IPV, and sexual abuse showed no significant association with PMS.

4. Discussion

Women reporting histories of childhood maltreatment were observed to exhibit a significantly increased risk of PMS compared with those who did not. Particularly, childhood physical and emotional abuse had significant associations with PMS, whereas other types of childhood maltreatment (i.e., emotional neglect, a witness of IPV, or sexual abuse) did not.
Our findings were consistent with those of previous studies. The association between childhood abuse (emotional, physical, and sexual) and the onset of PMS has been examined in the past using the Nurses’ Health Study II, a prospective cohort study [14]. After adjustment for obesity, smoking, and other factors, women who had experienced emotional and physical abuse were found to be 1.6 times more likely to have PMS than those who had not. The same study showed that childhood sexual abuse was not associated with PMS, which also accords with our results. Therefore, we have shown that the association between childhood abuse and PMS in Americans can be extended to Japanese women. Although the Nurses’ Health Study involved only professional nurses aged 28 and up, the participants (women) in the present study were not necessarily professional nurses (i.e., they were drawn from the general population) and had ages ranging from 10 years old or higher. Thus, our findings suggest that the association between childhood maltreatment history and PMS can be extended to the general population and younger women.
The social structure of Japan has changed significantly in the last few decades, and the social burden on women has increased. Along with the fact that female-specific diseases such as PMS have increased, more women are aware of the existence of PMS in the information-oriented society, and more women are suffering from PMS. Because some previous studies have suggested that PMS may be a socially constructed disorder [3], the recent increase in recognition of PMS in Japan may be attributed to social construction. On the other hand, in Japan, child maltreatment has recently been socially recognized by the Child Guidance Center (which is similar to Child Protection Services in the United States or the United Kingdom), and reported cases were found to be 40 times more numerous than they were 20 years ago [22]. Such social–environmental change may have significantly contributed to the increase in the recognition of both child maltreatment and PMS. Given that both PMS and child maltreatment are susceptible to social construction, further studies should be conducted to examine the association between PMS and child maltreatment.
Our findings are expected to be useful in elucidating the etiology of PMS. Although several factors are intimately involved and complicated in the occurrence of PMS [23], the etiology of this syndrome remains unknown. One possible etiology lies in the serotonin pathway, that is, PMS symptoms can be effectively alleviated not only by oral administration of serotonin-selective reuptake inhibitors (SSRIs) but also by treatments that enhance serotonin [24]. Moreover, in patients suffering from serotonin-based nervous-system disorders, diets lacking in tryptophan (which is needed to synthesize serotonin) were reported to induce PMS [25]. Beyond this, premenstrual dysphoric disorder (PMDD) is associated with the short allele of a functional polymorphism in the serotonin-transporter gene (5-HTTLPR), leading to lower levels of serotonin [26]. Since the experience of childhood abuse can change the brain structure and function related to the serotonin system [27], this study may support the hypothesis that the serotonin pathway causes PMS.
Another possible pathway is brain structure. Fujisawa et al. reported that childhood abuse may shrink specific parts of the brain [28]; among those who experienced childhood abuse, the authors observed a decreased level of oxytocin. Considering the interplay between oxytocin and serotonin (that is, reduced oxytocin can induce lower levels of serotonin [29]), a history of childhood abuse may change the brain structure related to oxytocin levels and consequently change the serotonin levels, which may induce PMS.

5. Limitations

This study had several limitations. First, we used a self-reporting questionnaire to evaluate both childhood maltreatment history and PMS. Our results were therefore likely affected by common method bias. Our results were also subject to recall bias because the assessment of childhood maltreatment history was done retrospectively. To address this problem, future studies should make use of objective childhood maltreatment data from the Child Guidance Center. Second, it was not feasible to utilize the Japanese version of the Childhood Trauma Questionnaire [30] to assess childhood maltreatment history in the clinical setting; further studies should therefore be conducted using a validated detailed questionnaire. Third, sampling bias was unavoidable in this study since the participant pool was limited to two clinics in an urban area in Japan. Therefore, further population-based studies of this topic should be conducted. Fourth, this study employed a cross-sectional design, meaning that we cannot rule out reverse causation. Therefore, people with PMS may be more likely to remember (or overestimate) their childhood maltreatment history. However, we collected a relatively large sample size and considered multiple confounding factors; thus, the effect of reverse causation may be minimal or insufficient to impact our findings.

6. Conclusions

In this study, we observed that women reporting any childhood maltreatment history were 1.5 times more likely to experience PMS than those who did not. Particularly, childhood physical and emotional abuse showed stronger associations with PMS, whereas sexual abuse, emotional neglect, and witnessing IPV did not appear to be associated with PMS. In clinical settings for treatment of PMS, it may be helpful to assess patient’s childhood maltreatment histories. The findings of this study may suggest that addressing patients’ perceptions of childhood maltreatment using cognitive behavioral therapy might be an effective way to treat PMS, in addition to direct treatment of PMS symptoms. Thus, psychological therapy for childhood maltreatment may be a more effective way to address PMS than prescription drugs such as SSRI for PMS. Further intervention studies should be conducted to investigate the effectiveness of psychological therapy among patients with PMS and histories of childhood maltreatment.

Author Contributions

K.I. and T.F. designed the study, K.I. collected, analyzed, and interpreted the data and drafted the manuscript. T.F. contributed to the analysis and interpretation of data, as well as manuscript writing. A.I. and S.D. also contributed to data analysis. All co-authors reviewed and commented on the drafts. All authors have read and agreed to the published version of the manuscript.

Funding

This study is supported by JST RISTEX Grant Number JPMJRX16G5, Japan, and the Ministry of Health, Labor and Welfare, Japan (H27-sukoyaka-ippan-001 and H30-sukoyaka-ippan-003). These agencies had no role in the design of this study, in the collection, analysis, and interpretation of data, or the writing of the manuscript.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of the Tokyo Medical and Dental University (M2017-243).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

Acknowledgments

We would like to thank the study participants and staff of Cocokara Women’s Clinic and Cocokara Heart Clinic for data collection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Heinemann, L.A.; Minh, T.D.; Filonenko, A.; Uhl-Hochgraber, K. Explorative evaluation of the impact of severe premenstrual disorders on work absenteeism and productivity. Womens Health Issues 2010, 20, 58–65. [Google Scholar] [CrossRef] [PubMed]
  2. Yonkers, K.A.; O’Brien, P.M.; Eriksson, E. Premenstrual syndrome. Lancet 2008, 371, 1200–1210. [Google Scholar] [CrossRef]
  3. Ussher, J.M.; Perz, J. PMS as a process of negotiation: Women’s experience and management of premenstrual distress. Psychol. Health 2013, 28, 909–927. [Google Scholar] [CrossRef] [PubMed]
  4. Tanaka, E.; Momoeda, M.; Osuga, Y.; Rossi, B.; Nomoto, K.; Hayakawa, M.; Kokubo, K.; Wang, E.C. Burden of menstrual symptoms in Japanese women—An analysis of medical care-seeking behavior from a survey-based study. Int. J. Womens Health 2013, 6, 11–23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Takeda, T.; Tasaka, K.; Sakata, M.; Murata, Y. Prevalence of premenstrual syndrome and premenstrual dysphoric disorder in Japanese women. Arch. Womens Ment. Health 2006, 9, 209–212. [Google Scholar] [CrossRef]
  6. Angst, J.; Sellaro, R.; Merikangas, K.R.; Endicott, J. The epidemiology of perimenstrual psychological symptoms. Acta Psychiatr. Scand. 2001, 104, 110–116. [Google Scholar] [CrossRef]
  7. Rapkin, A.J.; Winer, S.A. Premenstrual syndrome and premenstrual dysphoric disorder: Quality of life and burden of illness. Expert Rev. Pharmacoecon. Outcomes Res. 2009, 9, 157–170. [Google Scholar] [CrossRef]
  8. Borenstein, J.E.; Dean, B.B.; Endicott, J.; Wong, J.; Brown, C.; Dickerson, V.; Yonkers, K.A. Health and economic impact of the premenstrual syndrome. J. Reprod. Med. 2003, 48, 515–524. [Google Scholar]
  9. Grady-Weliky, T.A. Clinical practice. Premenstrual dysphoric disorder. N. Engl. J. Med. 2003, 348, 433–438. [Google Scholar] [CrossRef]
  10. Futterman, L.A.; Rapkin, A.J. Diagnosis of premenstrual disorders. J. Reprod. Med. 2006, 51, 349–358. [Google Scholar]
  11. Felitti, V.J.; Anda, R.F.; Nordenberg, D.; Williamson, D.F.; Spitz, A.M.; Edwards, V.; Koss, M.P.; Marks, J.S. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The Adverse Childhood Experiences (ACE) Study. Am. J. Prev. Med. 1998, 14, 245–258. [Google Scholar] [CrossRef]
  12. Fujiwara, T.; Kawakami, N.; World Mental Health Japan Survey. Association of childhood adversities with the first onset of mental disorders in Japan: Results from the World Mental Health Japan, 2002–2004. J. Psychiatr. Res. 2011, 45, 481–487. [Google Scholar] [CrossRef] [PubMed]
  13. Koci, A.; Strickland, O. Relationship of adolescent physical and sexual abuse to perimenstrual symptoms (PMS) in adulthood. Issues Ment. Health Nurs. 2007, 28, 75–87. [Google Scholar] [CrossRef] [PubMed]
  14. Bertone-Johnson, E.R.; Whitcomb, B.W.; Missmer, S.A.; Manson, J.E.; Hankinson, S.E.; Rich-Edwards, J.W. Early life emotional, physical, and sexual abuse and the development of premenstrual syndrome: A longitudinal study. J. Womens Health 2014, 23, 729–739. [Google Scholar] [CrossRef] [Green Version]
  15. Organisation for Economic Co-Operation and Development. OECD Family Database. Available online: http://www.oecd.org/els/soc/SF3_4_Family_violence_Jan2013.pdf (accessed on 23 April 2019).
  16. The Japanese Society of Obstetrics and Gynecology Obstetrics. Obstetrics and Gynecology Glossary, 2nd ed.; 1999; Volume 34. [Google Scholar]
  17. AOCG Practice Bulletin. Premenstrual syndrome. Int. J. Gyaecol. Obstet. 2001, 73, 183–191. [Google Scholar]
  18. Isumi, A.; Fujiwara, T. Association of adverse childhood experiences with shaking and smothering behaviors among Japanese caregivers. Child Abuse Negl. 2016, 57, 12–20. [Google Scholar] [CrossRef]
  19. Doi, S.; Fujiwara, T. Combined effect of adverse childhood experiences and young age on self-harm ideation among postpartum women in Japan. J. Affect. Disord. 2019, 253, 410–418. [Google Scholar] [CrossRef] [PubMed]
  20. Amemiya, A.; Fujiwara, T.; Murayama, H.; Tani, Y.; Kondo, K. Adverse Childhood Experiences and Higher-Level Functional Limitations among Older Japanese People: Results from the JAGES Study. J. Gerontol. A Biol. Sci. Med. Sci. 2018, 73, 261–266. [Google Scholar] [CrossRef] [PubMed]
  21. Matsuyama, Y.; Fujiwara, T.; Aida, J.; Watt, R.G.; Kondo, N.; Yamamoto, T.; Kondo, K.; Osaka, K. Experience of childhood abuse and later number of remaining teeth in older Japanese: A life-course study from Japan Gerontological Evaluation Study project. Community Dent. Oral Epidemiol. 2016, 44, 531–539. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Tanaka, R. Child abuse as a social problem. J. Educ. Sociol. 2011, 88, 119–138. [Google Scholar] [CrossRef] [Green Version]
  23. Halbreich, U. The etiology, biology, and evolving pathology of premenstrual syndromes. Psychoneuroendocrinology 2003, 28 (Suppl. S3), 55–99. [Google Scholar] [CrossRef]
  24. Landen, M.; Eriksson, O.; Sundblad, C.; Andersch, B.; Naessen, T.; Eriksson, E. Compounds with affinity for serotonergic receptors in the treatment of premenstrual dysphoria: A comparison of buspirone, nefazodone and placebo. Psychopharmacology 2001, 155, 292–298. [Google Scholar] [CrossRef] [PubMed]
  25. Menkes, D.B.; Coates, D.C.; Fawcett, J.P. Acute tryptophan depletion aggravates premenstrual syndrome. J. Affect. Disord. 1994, 32, 37–44. [Google Scholar] [CrossRef]
  26. Gingnell, M.; Comasco, E.; Oreland, L.; Fredrikson, M.; Sundstrom-Poromaa, I. Neuroticism-related personality traits are related to symptom severity in patients with premenstrual dysphoric disorder and to the serotonin transporter gene-linked polymorphism 5-HTTPLPR. Arch. Womens Ment. Health 2010, 13, 417–423. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Miller, J.M.; Kinnally, E.L.; Ogden, R.T.; Oquendo, M.A.; Mann, J.J.; Parsey, R.V. Reported childhood abuse is associated with low serotonin transporter binding in vivo in major depressive disorder. Synapse 2009, 63, 565–573. [Google Scholar] [CrossRef] [Green Version]
  28. Fujisawa, T.X.; Nishitani, S.; Takiguchi, S.; Shimada, K.; Smith, A.K.; Tomoda, A. Oxytocin receptor DNA methylation and alterations of brain volumes in maltreated children. Neuropsychopharmacology 2019, 44, 2045–2053. [Google Scholar] [CrossRef]
  29. Lefevre, A.; Richard, N.; Jazayeri, M.; Beuriat, P.A.; Fieux, S.; Zimmer, L.; Duhamel, J.R.; Sirigu, A. Oxytocin and Serotonin Brain Mechanisms in the Nonhuman Primate. J. Neurosci. 2017, 37, 6741–6750. [Google Scholar] [CrossRef]
  30. Mizuki, R.; Fujiwara, T. Validation of the Japanese version of the Childhood Trauma Questionnaire-Short Form (CTQ-J). Psychol. Trauma 2020. [Google Scholar] [CrossRef]
Table 1. Characteristics of respondents (N = 3815).
Table 1. Characteristics of respondents (N = 3815).
Characteristics of Respondents Child Maltreatment Historyp-Value
Total (N = 3815)None (N = 2894, 75.9%)Any (N = 921, 24.1%)
N or Mean% or SDN or Mean% or SDN or Mean% or SD
Age 35.110.334.910.235.910.60.011
Age (category)25 and older319683.8243284764830.438
24 and younger61916.24621615717
Marital statusNever married196651.5150852.145849.7<0.001
Married158541.5122642.435939
Divorced, widowed, others2526.61525.310010.9
Living with child/childrenYes102126.876926.625227.40.832
No279173.2212373.466872.5
SmokingNo281873.9220676.261266.4<0.001
Used to smoke5731540313.917018.5
Yes3629.52428.412013
AlcoholNo133234.997333.6359390.005
1–3 times per month129333.9102035.227329.6
Once a week or more111929.385029.426929.2
Economic hardshipNo21365617356040143.5<0.001
Yes163842.911283951055.4
Domestic violenceNo340889.3270593.570376.3<0.001
Yes382101725.921022.8
Table 2. Bivariate and multivariate associations between childhood maltreatment history and premenstrual syndrome.
Table 2. Bivariate and multivariate associations between childhood maltreatment history and premenstrual syndrome.
PredictorsPrevalence of PMS (%)BivariateModel 1Model 2
OR95% CIaOR95% CIaOR95% CI
Any child maltreatment historyNo79.2Ref Ref Ref
Yes83.41.391.15–1.681.511.25–1.841.471.20–1.81
Age 0.940.94–0.950.940.93–0.94
Marital statusNever married83.9 Ref
Married78.2 1.381.10–1.74
Divorced, widowed, others63.5 0.630.45–0.88
Living with child/childrenNo81.6 Ref
Yes76.4 1.010.81–1.27
SmokingNo79.7 Ref
Used to smoke82.2 1.411.12–1.80
Yes84.3 1.290.95–1.75
AlcoholNo78.9 Ref
1–3 times per month83.8 1.321.08–1.61
Once a week or more80.7 1.220.99–1.49
Economic hardshipNo78.6 Ref
Yes82.7 1.321.11–1.57
Domestic ViolenceNo79.8 Ref
Yes85.6 1.571.15–2.15
OR: odds ratios; bold: p < 0.05. Model 1: adjusted for age. Model 2: adjusted for age, marital status, living with child/children, smoking, alcohol, economic hardship, and domestic violence.
Table 3. Bivariate and multivariate associations between the number of types of childhood maltreatment and premenstrual syndrome.
Table 3. Bivariate and multivariate associations between the number of types of childhood maltreatment and premenstrual syndrome.
PredictorsCrudeModel 1Model 2
OR95% CIaOR95% CIaOR95% CI
No. of child maltreatment history0Ref Ref Ref
11.130.87–1.461.190.91–1.551.320.93–1.63
21.711.20–2.441.871.30–2.691.881.28–2.75
3+1.621.16–2.271.821.29–2.571.601.11–2.29
Age 0.940.94–0.950.940.93–0.94
Marital statusNever married Ref
Married 1.391.10–1.75
Divorced, Widowed, Others 0.640.45–0.89
Living with child/childrenNo Ref
Yes 1.010.81–1.26
SmokingNo Ref
Used to smoke 1.411.10–1.80
Yes 1.280.94–1.74
AlcoholNo Ref
1–3 times per month 1.321.09–1.62
Once a week or more 1.221.00–1.50
Economic hardshipNo Ref
Yes 1.321.11–1.56
Domestic ViolenceNo Ref
Yes 1.531.12–2.10
OR: odds ratios; bold: p < 0.05. Model 1: age adjustment. Model 2: age adjustment, marital status, living with child/children, smoking, alcohol, economic hardship, and domestic violence.
Table 4. Bivariate and multivariate associations between each type of childhood maltreatment history and premenstrual syndrome.
Table 4. Bivariate and multivariate associations between each type of childhood maltreatment history and premenstrual syndrome.
Each Type of Childhood Maltreatment HistoryCrudeModel 1Model 2
OR95% CIaOR95% CIaOR95% CI
Emotional neglect1.160.90–1.511.321.01–1.731.200.90–1.59
Witnessing intimate-partner violence1.210.91–1.621.401.04–1.891.260.92–1.73
Physical abuse1.951.43–2.672.021.47–2.791.891.35–2.64
Emotional abuse1.531.23–1.921.621.29–2.031.551.21–1.98
Sexual abuse1.600.95–2.691.761.03–3.011.500.87–2.58
OR: odds ratios; bold: p < 0.05.
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Ito, K.; Doi, S.; Isumi, A.; Fujiwara, T. Association between Childhood Maltreatment History and Premenstrual Syndrome. Int. J. Environ. Res. Public Health 2021, 18, 781. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020781

AMA Style

Ito K, Doi S, Isumi A, Fujiwara T. Association between Childhood Maltreatment History and Premenstrual Syndrome. International Journal of Environmental Research and Public Health. 2021; 18(2):781. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020781

Chicago/Turabian Style

Ito, Kanako, Satomi Doi, Aya Isumi, and Takeo Fujiwara. 2021. "Association between Childhood Maltreatment History and Premenstrual Syndrome" International Journal of Environmental Research and Public Health 18, no. 2: 781. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020781

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