Sleep Disturbances in Midlife Women at the Cusp of the Menopausal Transition

Jones, Holly J; R, Zák; Lee, Kathryn A.

doi:10.5664/jcsm.7208

Cited by 36 publications

(27 citation statements)

References 31 publications

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“…There seems to be a positive correlation between depressive disorders and sleep disorders [31]. Vasomotor symptoms have been among the most influencing factors of sleep disturbances [32] and are also directly associated with menopause-specific quality of life [33]. Moreover, vasomotor symptoms, through the negative effect on sleep, can also influence women’s mood [34] and the sense of restlessness during the day [35].…”

Section: Mood-sleep Disturbances and Vasomotor Symptomsmentioning

confidence: 99%

Psychosomatic and vasomotor symptom changes during transition to menopause

Augoulea

Moros

Lykeridou

et al. 2019

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Menopause is the condition in which the gradual decline in ovarian function finally leads to the permanent cessation of menstruation. Oestrogen deficiency may cause early symptoms during the menopausal transition and late symptoms after menopause. Menopause is a normal period of life. During this period, women need adaptation to new biological, social, and psychological parameters. Vasomotor symptoms are among the most common menopausal symptoms. Menopause per se is not correlated with specific psychiatric disorders, but data suggest that perimenopausal women are more likely to develop depressive disorders even without a previous history. Vasomotor symptoms are correlated with mood and sleep disturbances, neuroticism, anxiety, decreased cognitive function, and stress. Personality traits, social, and other factors are also important mediators of vasomotor symptoms during the menopausal transition phase. This is a review based on the existing evidence concerning the correlation between psychosomatic and vasomotor symptoms of menopause during the menopausal transition period. Healthcare providers should take these correlations into consideration when planning the treatment of vasomotor symptoms. Vasomotor symptoms during menopause are associated with significant social costs. There are numerous traditional hormone therapy, and complementary and alternative therapy including over-the-counter treatments and dietary supplements for managing menopause-related vasomotor symptoms. Additional costs include follow-up physician visits, laboratory testing, management of adverse events, and loss of productivity at work. Social support and planning may help women to deal with menopausal symptoms and may reduce overall social costs during this transitional phase.

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Section: Mood-sleep Disturbances and Vasomotor Symptomsmentioning

confidence: 99%

Psychosomatic and vasomotor symptom changes during transition to menopause

Augoulea

Moros

Lykeridou

et al. 2019

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“…Menopause can be accompanied by experiences such as depression, anxiety, impaired sleep quality, weakening of mood, and deterioration of focusing and memory. (Jones et al, 2018; Kim et al, 2015; Li et al, 2012; Sussman et al, 2015). Sleep complications in menopause are affected by multiple factors, such as physiological hormonal change, psychological factors, and physical sickness (Guthrie et al, 2018; Thurston et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Footbath as a safe, simple, and non‐pharmacological method to improve sleep quality of menopausal women

Aghamohammadi

Salmani

Ivanbagha

et al. 2020

Research in Nursing & Health

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Due to the adverse effects of medication we decided to provide a safe, economic, and easy intervention to decrease sleep problems in menopausal women. This trial aimed to determine the effect of footbath on sleep disturbance in postmenopausal women. One hundred menopausal women were randomly stratified using a permuted block randomization procedure by Random Allocation Software, and assigned to one of two study groups: control (without intervention, n = 50) and intervention (footbath, n = 50). The footbath group was asked to lie their feet into the warm water for 20 min in a container with a depth of 10 cm one hour before the usual sleeping time for 6 weeks. To assess sleep quality, we used the Pittsburgh sleep quality index (PSQI). To evaluate severity of menopause symptoms, the Greene scale was applied. Before the intervention, 96% of the subjects in the footbath group and 94% in the control group were poor sleepers. The results of

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“…Sleep disturbances and fatigue are prevalent among healthcare providers, which might result from stressful workload and rotating shifts (Gao et al, ; Korsiak, Tranmer, Leung, Borghese, & Aronson, ). Research has revealed that women report more sleep problems than men (Brown, Gallicchio, Flaws, & Tracy, ; Jones, Zak, & Lee, ; Pengo, Won, & Bourjeily, ). Female shift workers have been found to increase the risk of type 2 diabetes (Li et al, ; Pan, Schernhammer, Sun, & Hu, ), breast cancer (Grundy et al, ; Travis et al, ) and coronary heart disease (Vetter et al, ).…”

Section: Introductionmentioning

confidence: 99%

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

et al. 2019

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Aim To describe sleep disturbances and fatigue among female registered nurses in Beijing and to develop a prediction model for sleep disturbances. Background Chinese nurses are required to work rotating shifts on a weekly basis, which could negatively impact their sleep and well‐being. Method A total of 647 registered nurses participated in this study. Self‐reported sleep‐related data and selected physiological data were collected. Back propagation artificial neural networks was used to develop the prediction model by using the risk management and population health framework. Results Majority of them reported clinically significant poor sleep (69.4%) and fatigue (75.4%). A total of eight predictors were identified for sleep disturbances, and the top four normalized importance predictors are morning fatigue (100%), body mass index (30.5%), gastrointestinal symptoms (17.6%) and drinking caffeinated beverages at work (17.3%). The cross‐entropy error was 206.58, and the model accounted for 77.6% of the variance in sleep disturbances. Conclusions and implications for nursing management Female registered nurses in China experience clinically significant sleep disturbances. Morning fatigue severity along with seven significant influencing factors may be used to identify shift nurses who face a higher risk of sleep disturbances. The back propagation artificial neural networks model could be used as the foundation for health promotion interventions for registered nurses.

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Sleep Disturbances in Midlife Women at the Cusp of the Menopausal Transition

Abstract: A commentary on this article appears in this issue on page 1095.

Cited by 36 publications

References 31 publications

Psychosomatic and vasomotor symptom changes during transition to menopause

Psychosomatic and vasomotor symptom changes during transition to menopause

Footbath as a safe, simple, and non‐pharmacological method to improve sleep quality of menopausal women

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

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