Women's quality of sleep and in vitro fertilization success

Sleep quality, perceived stress and associated factors in women undergoing IVF treatment: short-term longitudinal study

BACKGROUND

Despite limited studies in the literature, it is hypothesised that lifestyle factors are modifiable habits that have an impact on couples' fertility health. However, the relationship between sleep quality and infertility is an area that needs to be clarified.

OBJECTIVE

To determine sleep quality and associated factors in women receiving in vitro fertilisation treatment and to evaluate the changes in sleep over the treatment cycle.

METHODS

This is a longitudinal descriptive study conducted on 158 women in two infertility centres in Izmir, Turkey. Data were collected using the Personal Introduction Form, Pittsburgh Sleep Quality Index, Visual Analogue Stress Scale, and Physical Symptoms List. Data were collected during three different treatment periods: beginning of the in vitro fertilisation trial, oocyte pick-up day and the postembryo transfer period.

RESULTS

The sleep quality score of women progressively decreased as treatment progressed (p < .001). A strong positive correlation was determined between stress and sleep quality (p < .001). Additionally, advanced age, low education level, shift work, prolonged treatment and economic distress were associated with poorer sleep quality (p < .001). In addition, breast fullness, abdominal distension, and pain (p < .001) observed until the oocyte pick-up day, as well as nausea and fatigue during the postembryo transfer period (p < .001), were identified as physical symptoms affecting sleep quality.

CONCLUSION

This article provides information on sleep quality during in vitro fertilisation and guides healthcare professionals to encourage and improve women's sleep quality.

The relationship between infertility and sleep quality in women: Systematic review and meta-analysis

OBJECTIVES

This systematic review and meta-analysis study aimed to examine the relationship between infertility and sleep quality in women.

METHODS

The literature search was conducted between October and November 2022 with full-text studies from PubMed (MEDLINE), Cochrane, Google Scholar, and Scientific Information Database (SID). The study is based on the recommendations of the Cochrane guidelines. The data were analyzed using the Review Manager computer software (Version 5.3).

RESULTS

A systematic literature review was conducted, with 11 studies included. The meta-analysis revealed a significant difference between infertility and sleep quality in women, that the sleep quality of infertile patients decreased (SMD: -0.75 95% CI: -0.84 to -0.66, Z = 16.46, P < .00001), and that there was a significant difference between infertility and depression (SMD: -0.18 95% CI: -0.27 to -0.09, Z = 4.00, P < .0001).

CONCLUSION

The results of this study indicate that sleep quality is low in infertile women. PROSPERO ID: (CRD42023404389).

Lifestyle and fertility-specific quality of life affect reproductive outcomes in couples undergoing in vitro fertilization

Objective

A Mediterranean dietary pattern, sleeping habits, physical activity, and lifestyle appear to affect reproductive health. There are few reports about whether fertility-specific quality of life (QOL) is linked to infertility treatment outcomes. The aim of this study is to investigate when lifestyle factors and fertility-specific QOL are comprehensively considered, which factors influence assisted reproductive technology (ART) outcomes.

Methods

This prospective cohort includes 291 women undergoing a first ART treatment at multiple centers in Japan and was designed to evaluate the influence of diet, physical activity, sleeping pattern, computer use duration, and fertility-specific quality of life tool (FertiQoL) score on ART treatment outcomes using a questionnaire. The primary endpoint was the good-quality blastocyst rate per oocyte retrieval and the secondary endpoints were a positive pregnancy test and gestational sac (GS) detection.

Results

The good-quality blastocyst rate per oocyte retrieval tended to be negatively associated with frequent fish consumption. After all embryo transfer (ET) cycles, a positive pregnancy test tended to be positively associated with longer sleep and longer computer use (OR = 1.6, 95% CI = 0.9-2.7 and OR = 1.7, CI = 1.0-2.8, respectively) and negatively associated with a smoking partner (OR = 0.6, CI = 0.3-1.0). GS detection was positively and significantly associated with frequent olive oil intake and longer computer use (OR = 1.7, CI = 1.0-3.0 and OR = 1.7, CI = 1.0-3.0, respectively). After ET cycles with a single blastocyst, a positive pregnancy test was positively and significantly associated with longer computer use (OR = 2.0, CI = 1.1-3.7), while GS detection was significantly more likely in women with longer computer use (OR = 2.1, CI = 1.1-3.8) and tended to be more likely in women with a higher FertiQoL Total scaled treatment score (OR = 1.8, CI = 1.0-3.3). p < 0.05 was considered statistically significant and 0.05 ≤ p <0.01 as tendency.

Conclusions

Olive oil may be an important factor in dietary habits. Fertility-specific QOL and smoking cessation guidance for partners are important for infertile couples.

Association of sleep duration and sleep quality with gestational diabetes mellitus in pregnant women after treatment with assisted reproductive technology: A birth cohort study

Maternal sleep is closely related to subsequent gestational diabetes mellitus (GDM) in natural pregnancies. However, whether this connection exists in pregnant women conceiving with the help of assisted reproductive technology (ART) has not been confirmed. Hence, in this study, we evaluated whether early pregnancy sleep duration or sleep quality is associated with gestational diabetes mellitus in ART-pregnant women, as well as the influence of maternal age on this association. This prospective birth cohort study included 856 pregnant women who successfully conceived with the help of ART treatment. The sleep parameters of ART-pregnant women were assessed using the Pittsburgh Sleep Quality Index (PSQI) in early pregnancy. We explored the association between sleep and the risk of gestational diabetes mellitus using an unconditional binary logistic regression model. Different models were constructed to examine the robustness of the estimation by incorporating different confounding factors. Multivariable logistic regression revealed that sleep duration of more than 10 h among ART-pregnant women was significantly associated with the risk of GDM, and the association between sleep duration and gestational diabetes mellitus varied by maternal age. We found an increased risk of subsequent gestational diabetes mellitus with increasing sleep duration only in pregnant women aged <35 years. Additionally, no statistically significant association between sleep quality and gestational diabetes mellitus was found in this study. In conclusion, excessive sleep duration (≥10 h) is associated with a high risk of gestational diabetes mellitus in pregnant women who conceived with the help of assisted reproductive technology, and maternal age may modify this effect.

The Menstrual Cycle and Sleep

Aspects of sleep change across the menstrual cycle in some women. Poorer sleep quality in the premenstrual phase and menstruation is common in women with premenstrual symptoms or painful menstrual cramps. Although objective sleep continuity remains unchanged across the regular, asymptomatic menstrual cycle, activity in the sleep electroencephalogram varies, with a prominent increase in sleep spindle activity in the postovulatory luteal phase, when progesterone is present, relative to the follicular phase. Menstrual cycle phase, reproductive stage, and menstrual-related disorders should be considered when assessing women's sleep complaints.

Sleep characteristics before assisted reproductive technology treatment predict reproductive outcomes: a prospective cohort study of Chinese infertile women

Sleep disorders affect mental and physical health. Infertile women undergoing assisted reproductive technology (ART) treatment are prone to sleep disorders. Sleep condition, its influencing factors, and the association between sleep condition and ART treatment outcomes before treatment have not been explored within a population with a large sample size. Therefore, we investigated the sleep characteristics of 1002 Chinese infertile women before ovulation induction and investigated the influencing factors (negative and positive psychological factors, demographics, and fertility characteristics). We also examined whether sleep conditions before treatment predicted reproductive outcomes. We found that 24.1% of participants reported poor sleep quality. Women with primary infertility reported poorer sleep than women with secondary infertility. Negative psychological factors, including depression, anxiety, and perceived stress were associated with poor sleep, whereas positive affect was linked with good sleep. Adverse sleep characteristics, including poor subjective sleep quality, sleep disturbances, and poor sleep efficiency, decreased the quantity and quality of oocytes retrieved, fertilization rates, and clinical pregnancy rates. This study indicates that before ART treatment, a large number of females with infertility suffer from sleep problems, which are affected by psychological factors and infertility type, and unhealthy sleep characteristics may impair treatment outcomes. Our findings highlight the importance of screening and treatment for sleep disorders before the enrollment of ART treatment in infertile women.

Association between sexual function in women and sleep quality

Objective

To determine the relationship between sexual dysfunction and sleep disorders.

Methods

Observational study was conducted in 2021 and 2022 including 975 Spanish women over 18 years of age. The Women's Sexual Function Questionnaire (FSM-12) was used as a source of information, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. A bivariate and multivariate analysis was performed using binary logistic regression, adjusting for confounding variables. Crude (OR) and adjusted (aOR) odds ratios were estimated with their respective 95% confidence intervals (CI).

Results

Around 29.2% (285) of the women presented some type of sexual dysfunction, and 73.4% (716) showed sleep disturbance with scores ≥5 on the PSQI scale. The mean score on the PSQI was 8.23 points (SD = 3.93). All the dimensions of the sexual function scale were statistically related to sleep disturbance (p  ≤ 0.05), except for sexual activity and the reasons for sexual activity not having penetration. In the multivariable analysis, women with sexual dysfunction presented an aOR of sleep disturbance of 1.88 (95% CI: 1.29-2.76) compared to women without dysfunction.

Conclusion

Global sexual dysfunction and almost all the dimensions that make up sexual function are related to changes in sleep quality.