Individual differences in self-reported difficulty sleeping across the menstrual cycle

Reen, Eliza Van; Kiesner, Jeff

doi:10.1007/s00737-016-0621-9

Cited by 33 publications

(20 citation statements)

References 18 publications

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“…The results of logistic regression analysis in Table 3 indicates that adolescents who have poor sleep quality have an opportunity to experience irregular menstrual cycles 2.05 times compared to those with good sleep quality. This is in line with the research conducted by Romans [11] that there is a relationship between the quality of sleep and the menstrual cycle, menstruating women have been reported to have poorer sleep quality and greater sleep disturbance [21][22][23]. According to Kloss et al [24], there is a significant relationship in the research between the quality of sleep and the menstrual cycle because hormones will be processed during sleep.…”

Section: The Relationship Between Bmi Sleep Quality Stress Conditions and Menstrual Cyclessupporting

confidence: 81%

Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

Fitriani¹,

Probandari²,

Wiboworini³

2019

IJPHS

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Menstrual cycles are an important indicator of women's health. Menstrual cycles can be affected by body mass index (BMI), sleep quality, and stress. This study aimed to analyse the relationship between BMI, sleep quality, stress and the menstrual cycle. The subjects of this research were the female adolescents at the age of at least 15 years old that had experienced menstruation for at least 2 years. The dependent variable is the menstrual cycle while the independent variables are BMI, sleep quality, and stress conditions. Observational analytic research method with Cross sectional design was used in this research. The subjects were 148 female students. The BMI data were obtained through the anthropometric measurement. The sleep quality data were taken with PSQI questionnaire, and the stress condition data obtained from PSS-10 questionnaire which were then analysed using Chi-Square test and Logistic Regression. Results of study showed that there is a significant relationship between BMI, sleep quality, stress conditions and the adolescent menstrual cycle. The results of the multivariate analysis showed that the female adolescents with abnormal BMI are at risk of having menstrual cycle disorders 1.91 times. The adolescents with poor sleep quality are at risk experiencing menstrual cycle disorders 2.05 times, and the adolescents with stress conditions at risk of the menstrual cycle disorders 2.26 times. There is a relationship between BMI, sleep quality, stress conditions and the menstrual cycle. Stress conditions most influence the regularity of the menstrual cycle.

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Section: The Relationship Between Bmi Sleep Quality Stress Conditions and Menstrual Cyclessupporting

confidence: 81%

Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

Fitriani¹,

Probandari²,

Wiboworini³

2019

IJPHS

View full text Add to dashboard Cite

show abstract

“…Less obvious are the physiological processes inside the body such as the rhythmicity of the sex hormones that drive the menstrual cycle and others that regulate growth and metabolism 1 . These rhythms also interact with each other through synchronization of cellular activities with the external environment through feedback mechanisms that promote dynamic stability, such as the interaction between circadian rhythms, sleep and the menstrual cycle 2 , 3 . Perturbations of the body’s rhythmic processes are associated with disorders 4 such as disturbed circadian rhythmicity with premenstrual dysphoric disorder (PMDD) 5 or abnormal expression of the circadian clock gene and spontaneous abortion 6 .…”

Section: Introductionmentioning

confidence: 99%

Menstrual cycle rhythmicity: metabolic patterns in healthy women

Draper

Duisters

Weger

et al. 2018

Sci Rep

151

130

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The menstrual cycle is an essential life rhythm governed by interacting levels of progesterone, estradiol, follicular stimulating, and luteinizing hormones. To study metabolic changes, biofluids were collected at four timepoints in the menstrual cycle from 34 healthy, premenopausal women. Serum hormones, urinary luteinizing hormone and self-reported menstrual cycle timing were used for a 5-phase cycle classification. Plasma and urine were analyzed using LC-MS and GC-MS for metabolomics and lipidomics; serum for clinical chemistries; and plasma for B vitamins using HPLC-FLD. Of 397 metabolites and micronutrients tested, 208 were significantly (p < 0.05) changed and 71 reached the FDR 0.20 threshold showing rhythmicity in neurotransmitter precursors, glutathione metabolism, the urea cycle, 4-pyridoxic acid, and 25-OH vitamin D. In total, 39 amino acids and derivatives and 18 lipid species decreased (FDR < 0.20) in the luteal phase, possibly indicative of an anabolic state during the progesterone peak and recovery during menstruation and the follicular phase. The reduced metabolite levels observed may represent a time of vulnerability to hormone related health issues such as PMS and PMDD, in the setting of a healthy, rhythmic state. These results provide a foundation for further research on cyclic differences in nutrient-related metabolites and may form the basis of novel nutrition strategies for women.

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“…She did not have a sleeping partner or dependent and, therefore, was solely responsible for her own sleep, nutrition, and schedule. KW had normal menses, no menses during the trial, and self-reported no history of interaction between sleep quality and menstrual cycle phases [31,32]. Hence, we did not record whether or when she menstruated during the intervention period.…”

Section: Resultsmentioning

confidence: 99%

Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study

2019

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Sleep deprivation is a prevalent and rising health concern, one with known effects on blood glucose (BG) levels, mood, and calorie consumption. However, the mechanisms by which sleep deprivation affects calorie consumption (e.g., measured via self-reported types of craved food) are unclear, and may be highly idiographic (i.e., individual-specific). Single-case or “n-of-1” randomized trials (N1RT) are useful in exploring such effects by exposing each subject to both sleep deprivation and baseline conditions, thereby characterizing effects specific to that individual. We had two objectives: (1) To test and generate individual-specific N1RT hypotheses of the effects of sleep deprivation on next-day BG level, mood, and food cravings in two non-diabetic individuals; (2) To refine and guide a future n-of-1 study design for testing and generating such idiographic hypotheses for personalized management of sleep behavior in particular, and for chronic health conditions more broadly. We initially did not find evidence for idiographic effects of sleep deprivation, but better-refined post hoc findings indicate that sleep deprivation may have increased BG fluctuations, cravings, and negative emotions. We also introduce an application of mixed-effects models and pancit plots to assess idiographic effects over time.

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Individual differences in self-reported difficulty sleeping across the menstrual cycle

Cited by 33 publications

References 18 publications

Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

Menstrual cycle rhythmicity: metabolic patterns in healthy women

Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study

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