Effects of sleep hygiene training given to pregnant women with restless leg syndrome on their sleep quality

Sonmez, Ayse Irem; Derya, Yeşim Aksoy

doi:10.1007/s11325-018-1619-5

Cited by 18 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In cross-sectional and longitudinal analyses, poor sleep hygiene resulted a significant predictor of poor sleep, supporting the literature on sleep hygiene as a perpetuating factor of sleep disturbances (Morin 1993, Sönmez & Aksoy Derya, 2018Jung et al 2019;Booker et al 2020). Moreover, cross-sectional correlation analyses showed significant associations between sleep hygiene and anxiety, depression, and stress symptoms.…”

Section: Discussionsupporting

confidence: 79%

“…Poor sleep hygiene is traditionally considered as a core maintaining factor of chronic insomnia in behavioural (e.g., Spielman et al 1987) and cognitive models (e.g., Morin 1993). Additionally, poor sleep hygiene is involved in the maintenance of other sleep disorders including obstructive sleep apnoea (e.g., Jung et al 2019), shift work disorder (Booker et al 2020), and restless leg syndrome (Sönmez & Aksoy Derya, 2018). Conversely, the implementation of sleep hygiene practices may have the potential to address the public health concern of sleep complaints in the general population (Irish et al 2015).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Psychometric properties of the Sleep Hygiene Index in a large Italian community sample

et al. 2021

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Psychometric properties of the Sleep Hygiene Index in a large Italian community sample

et al. 2021

View full text Add to dashboard Cite

“… 10–12 Fortunately, good management of poor sleep during pregnancy can improve maternal and neonatal health. 13–15 …”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] Fortunately, good management of poor sleep during pregnancy can improve maternal and neonatal health. [13][14][15] Previous studies showed that age, race, 16 parity, 17 smoking, 18 obesity, 19 physical activity, 22 low income level, third-trimester pregnancy status and insufficient sleep duration 20 were associated with poor sleep during pregnancy. However, to our knowledge, few studies have reported the prevalence and risk factors for poor sleep in different trimesters, especially among Chinese pregnant women.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of and Risk Factors for Poor Sleep During Different Trimesters of Pregnancy Among Women in China: A Cross-Sectional Study

Zhang¹,

Li²,

Fan³

et al. 2021

NSS

View full text Add to dashboard Cite

Background The management of poor sleep during pregnancy is important for maternal and foetal health. The aim of the present study was to investigate the prevalence of poor sleep quality and risk factors for poor sleep during different trimesters of pregnancy for better management of sleep during pregnancy. Methods A cross-sectional study was conducted among pregnant women in Foshan Women’s and Children’s Hospital. In total, 2281 pregnant women were analysed, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Cluster logistic regression was used to analyse the risk factors for poor sleep among all participants, and logistic regression models were built to identify potential risk factors for poor sleep quality in different trimesters of pregnancy. Results Over half of the participants reported poor sleep quality (51.8%). The rate of poor sleep was lowest in the second trimester. Women who were unmarried had >12 years of education, exercised <3 days/week, were in the third trimester, had a high level of nausea and vomiting during pregnancy (NVP) and had a history of infertility had a higher risk of poor sleep. Pregnancy-related factors contributed most to poor sleep. In the first trimester, the main risk factors for poor sleep were a history of infertility and a high level of NVP. In the second trimester, only a high level of NVP was a risk factor for poor sleep. In the last trimester, the risk factors for poor sleep were more education years, exercise <3 days/week and high levels of NVP. Conclusion The prevalence and risk factors for poor sleep were different in different trimesters. Clinicians should screen and address poor sleep prior to the first and, especially, the third trimester of pregnancy. Management of poor sleep should be consistent throughout pregnancy and be adjusted in different trimesters.

show abstract

“…Examples of sleep hygiene include avoiding stimulants or disruptive foods near bedtime, daily exercising to promote quality sleep, establishing a relaxing bedtime routine, and creating an optimal sleep environment, among other recommendations. 27 , 28 The addition of sleep hygiene counseling should not pose a substantial additional burden to the provider or any risk to the patient, but could result in improved clinical outcomes. Studies have shown promoting good sleep hygiene to have positive impacts across various populations, particularly in athletes.…”

Section: Discussionmentioning

confidence: 99%

High Prevalence of Sleep Disturbance Is Associated with Femoroacetabular Impingement Syndrome

Cheah

Danilkowicz

Hutyra

et al. 2022

Arthroscopy, Sports Medicine, and Rehabilitation

View full text Add to dashboard Cite

The purpose of this study was to identify an association between Patient-Reported Outcomes Measurement Information System (PROMIS) sleep scores and other PROMIS domains in patients with femoroacetabular impingement syndrome (FAIS). Methods: Patients were retrospectively identified for FAIS pathology, and PROMIS outcomes were assessed at multiple visits. Individual generalized linear mixed-effects models were fit with PROMIS sleep score as the predictor variable, and each subsequent PROMIS metric as the response variable. Additionally, models were fit using a clinically significant dichotomization of PROMIS sleep score to assess differences in average PROMIS scores between those with disrupted sleep (>55) and those with normal sleep ( 55). Results: PROMIS scores at baseline differed between those with and without sleep disturbance. Specifically, higher PROMIS sleep scores were associated with higher anxiety, depression, fatigue, pain intensity, and pain interference scores and lower physical function, and social participation. Conclusion: An association between PROMIS sleep score and other PROMIS outcomes does exist. Sleep disturbance is associated with increased anxiety, depression, fatigue, pain intensity, pain interference and decreased physical function, and social participation when analyzing PROMIS score, as both a continuous and dichotomized variable. Because of the observational design of this study, no causal inference can be made on these results.

show abstract

Effects of sleep hygiene training given to pregnant women with restless leg syndrome on their sleep quality

Abstract: Sleep hygiene training given to pregnant women with restless leg syndrome increased sleep quality.

Cited by 18 publications

References 19 publications

Psychometric properties of the Sleep Hygiene Index in a large Italian community sample

Psychometric properties of the Sleep Hygiene Index in a large Italian community sample

Prevalence of and Risk Factors for Poor Sleep During Different Trimesters of Pregnancy Among Women in China: A Cross-Sectional Study

High Prevalence of Sleep Disturbance Is Associated with Femoroacetabular Impingement Syndrome

Contact Info

Product

Resources

About