Comparisons of the Prevalence, Severity, and Risk Factors of Dysmenorrhea between Japanese Female Athletes and Non-Athletes in Universities

Momma, Reiko; Nakata, Yoshio; Sawai, Akemi; Takeda, Masatami; Natsui, Hiroaki; Mukai, Nobuhiko; Watanabe, Koichi

doi:10.3390/ijerph19010052

Cited by 12 publications

(15 citation statements)

References 33 publications

(41 reference statements)

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“…Especially, studies of women in their teens and twenties defined high-intensity exercise, such as performing sports club activities, while studies of women in their thirties and older defined and included low-intensity exercises, such as walking. In a previous study that examined factors associated with the prevalence of PD in female athletes and non-athletes, only non-athletes showed an association between exercise and the prevalence of PD, and the reason for this association might have been exercise intensity [153]. Therefore, exercise intensity should be considered when examining the association between physical activity or exercise and prevalence and severity of PD and PMS.…”

Section: Principal Findingsmentioning

confidence: 98%

Factors Associated with the Prevalence and Severity of Menstrual-Related Symptoms: A Systematic Review and Meta-Analysis

Mitsuhashi

Sawai

Kiyohara

et al. 2022

IJERPH

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This study aimed to identify factors associated with the prevalence and severity of menstrual-related symptoms. The protocol was registered in PROSPERO (CRD42021208432). We conducted literature searches of PubMed and Ichushi-Web and used the Jonna Briggs Institute critical appraisal checklist to assess the quality. Of the 77 studies included in the meta-analysis, significant odds ratios (ORs) were obtained for eight factors associated with primary dysmenorrhea (PD): age ≤ 20 years (OR: 1.18; 95% confidence interval [CI]: 1.04–1.34), body mass index (BMI) < 18.5 kg/m2 (OR: 1.51; 95% CI: 1.01–2.26), longer menstrual periods (OR: 0.16; 95% CI: 0.04–0.28), irregular menstrual cycle (OR: 1.28; 95% CI: 1.13–1.45), family history of PD (OR: 3.80; 95% CI: 2.18–6.61), stress (OR: 1.88; 95% CI: 1.30–2.72), sleeping hours < 7 h (OR: 1.19; 95% CI: 1.04–1.35), and bedtime after 23:01 (OR: 1.30; 95% CI: 1.16–1.45). Two factors were associated with severity of PD (moderate vs. severe): BMI < 18.5 kg/m2 (OR: 1.89; 95% CI: 1.01–3.54) and smoking (OR: 1.94; 95% CI: 1.08–3.47). PD severity (mild vs. severe) and prevalence of premenstrual syndrome were associated with BMI < 18.5 kg/m2 (OR: 1.91; 95% CI: 1.04–3.50) and smoking (OR: 1.86; 95% CI: 1.31–2.66), respectively. The identified risk factors could be utilized to construct an appropriate strategy to improve menstrual symptoms and support women’s health.

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Section: Principal Findingsmentioning

confidence: 98%

Factors Associated with the Prevalence and Severity of Menstrual-Related Symptoms: A Systematic Review and Meta-Analysis

Mitsuhashi

Sawai

Kiyohara

et al. 2022

IJERPH

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“…The sample size in the studies ranges between 9 and 11,648. Although most studies presented the mean ages or range of ages in study participants [ 10 , 13 , 15 , 21 , 22 , 31 – 56 ], two studies did not have any information of age [ 57 , 58 ], and two studies only reported approximate age in study participants [ 11 , 59 ].…”

Section: Resultsmentioning

confidence: 99%

“…∙ PMS severity was associated with sleep problems. Low Momma et al [ 22 ] Women with no history of a previous pregnancy and/or childbirth ∙ Athletes: 605 ∙ Non-athletes: 295 19–20y ∙ Athletes: 20.0 ∙ Non-athletes: 20.0 Cross-sectional Sleep duration n/a Dysmenorrhea severity: “none = 0 to heavy pain = 10” (none/mild = 0 to 3; moderate = 4 to 6; severe = 7 to 10) n/a Sleep duration was not associated with dysmenorrhea severity in both athletes and non-athletes. Moderate Nicolau et al [ 50 ] ∙ PMS patients ∙ Normal controls 230 ∙ PMS: 36.1 ± 0.6 ∙ Normal controls: 37.6 ± 1.0 Cross-sectional ∙ PSQI (subjective sleep quality) ∙ ESS (daytime sleepiness) ∙ ISI (insomnia severity) ∙ General sleep questionnaire ∙ Sleep architecture (polysomnography) Simple question for PMS (Yes/No): “Do you have PMS?” n/a n/a ∙ PMS patients experienced poorer sleep quality, a higher perception of unrefreshing sleep, a higher total sleep time, and having threshold insomnia than normal controls ∙ PMS patients has longer sleep duration than those without PMS.…”

Section: Methodsmentioning

confidence: 99%

Menstrual disturbances and its association with sleep disturbances: a systematic review

Jeon,

Baek

2023

BMC Women's Health

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Background Menstrual disturbances harm women’s health, and general well-being. As growing evidence highlights the relationship between sleep and menstrual disturbances, it is imperative to comprehensively examine the association between sleep and menstrual disturbance considering the multiple dimensions of sleep. This systematic review aims to identify the association between sleep and menstrual disturbances by evaluating using Buysse’s sleep health framework. Methods A comprehensive search of the literature was conducted in PubMed, EMBASE, psychINFO, and CINAHL to identify publications describing any types of menstrual disturbances, and their associations with sleep published between January 1, 1988 to June 2, 2022. Quality assessment was conducted using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The findings were iteratively evaluated menstrual disturbances and their association with sleep using Buysse’s sleep health framework. This framework understands sleep as multidimensional concept and provides a holistic framing of sleep including Satisfaction, Alertness during waking hours, Timing of sleep, Efficiency, and Sleep duration. Menstrual disturbances were grouped into three categories: premenstrual syndrome, dysmenorrhea, and abnormal menstrual cycle/heavy bleeding during periods. Results Thirty-five studies were reviewed to examine the association between sleep and menstrual disturbances. Premenstrual syndrome and dysmenorrhea were associated with sleep disturbances in sleep health domains of Satisfaction (e.g., poor sleep quality), Alertness during waking hours (e.g., daytime sleepiness), Efficiency (e.g., difficulty initiating/maintaining sleep), and Duration (e.g., short sleep duration). Abnormal menstrual cycle and heavy bleeding during the period were related to Satisfaction, Efficiency, and Duration. There were no studies which investigated the timing of sleep. Conclusions/Implications Sleep disturbances within most dimensions of the sleep health framework negatively impact on menstrual disturbances. Future research should longitudinally examine the effects of sleep disturbances in all dimensions of sleep health with the additional objective sleep measure on menstrual disturbances. This review gives insight in that it can be recommended to provide interventions for improving sleep disturbances in women with menstrual disturbance.

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“…Moreover, in severe cases, PD interferes with work and even school attendance [ 1 ]. Reported risk factors for PD are: diet, low socioeconomical level, sedentarism, age, low body mass index, smoking, alcohol intake, early menarche, long menstrual period and obesity, amongst others [ 2 , 3 , 4 , 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Myofascial Trigger Points and Central Sensitization Signs, but No Anxiety, Are Shown in Women with Dysmenorrhea: A Case-Control Study

Hoyos-Calderon

Martínez‐Merinero

Núñez-Nagy

et al. 2022

Biology

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Background primary dysmenorrhea (PD) is considered to be a cyclic chronic pelvic pain, with its onset in menstrual periods, often accompanied by the presence of myofascial trigger points (MTP). Most MTPs in subjects with chronic pelvic pain are in the inferior part of the abdomen, in the rectus abdominis (RA) area. Central sensitization is closely related to chronic pain processes. Previous studies in women with chronic pelvic pain reported central sensitization signs in their subjects, such as lower pain pressure threshold (PPT). Several authors agree that PPT in the tibialis anterior (TA) muscle, seems to be a reliable reference for signs of central sensitization. Amongst the factors that seem to accompany central sensitization, the presence of anxiety needs to be considered. The aim of the present study was to analyze the existence of hyperalgesic MTPs in RA, central sensitization signs and anxiety in women with PD, in comparison with a control group (CG). Methods: This study was designed following an observational, cross-sectional, case-control model. A total sample of 80 subjects was recruited trough social webs and advertising (PD n = 39) (CG n = 41). PPT in RA and AT was assessed bilaterally through algometry, and anxiety was evaluated through the State–Trait Anxiety Inventory. Results: Statistically significant differences (p < 0.001) were shown for NRS average and maximum increase, as well as lower bilaterally RA and TA PPT in favor of PD group compared to CG. State or trait STAI did not show any statistically significant differences (p > 0.05) between groups. Conclusions: In this study, women with PD reported symptoms of myofascial pain syndrome and central sensitization, when compared with healthy controls, without any sign of anxiety acting as a confounder for pain sensitivity.

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Comparisons of the Prevalence, Severity, and Risk Factors of Dysmenorrhea between Japanese Female Athletes and Non-Athletes in Universities

Cited by 12 publications

References 33 publications

Factors Associated with the Prevalence and Severity of Menstrual-Related Symptoms: A Systematic Review and Meta-Analysis

Factors Associated with the Prevalence and Severity of Menstrual-Related Symptoms: A Systematic Review and Meta-Analysis

Menstrual disturbances and its association with sleep disturbances: a systematic review

Myofascial Trigger Points and Central Sensitization Signs, but No Anxiety, Are Shown in Women with Dysmenorrhea: A Case-Control Study

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