scholarly journals Association between sleep quality and central obesity among southern Chinese reproductive-aged women

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bingbing Li ◽  
Nan Liu ◽  
Donghui Guo ◽  
Bo Li ◽  
Yan Liang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Central Obesity ◽  
Poor Sleep ◽  
Sociodemographic Characteristics ◽  
Related Factors ◽  
Independent Contribution ◽  
Southern Chinese ◽  
Health Related ◽  
Reproductive Aged Women

Abstract Background The connections between sleep quality and central obesity among reproductive-aged women are not clear. The study aimed to explore the association between sleep quality and central obesity among Chinese reproductive-aged women and identify the independent contributions of sociodemographic characteristics, health-related factors, and sleep quality to central obesity. Methods In this cross-sectional survey, the minimal sample sizes were 2404 subjects; 2449 Chinese women aged 18–49 participated in this study. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Central obesity as the outcome of interest was a binary variable; women were categorized as with versus without central obesity measured by waist circumference (WC). The independent contribution of sociodemographic characteristics (Cluster 1), health-related variables (Cluster 2), and sleep quality (Cluster 3) to central obesity was derived from the corresponding R2 change (individual R2 change/total R2 × 100%), using clustered multiple logistic regression analyses. Results The risk of central obesity increased significantly with poor sleep quality (assessed by global PSQI score) [adjusted odds ratio (OR) = 2.20 per SD increase; 95% confidence interval (CI) = 1.28–3.78; P = 0.004], increased sleep disturbance score (adjusted OR = 1.11 per SD increase; 95% CI = 1.01–1.22; P = 0.042) and decreased subjective sleep quality score (adjusted OR = 0.81 per SD increase; 95% CI = 0.73–0.90; P < 0.001). The independent contribution of sleep quality was 9.9%, less than those of sociodemographic (73.3%) and health-related (16.8%) variables. Among complaints related to sleep disturbance, the inability to breathe comfortably, and having bad dreams showed significant associations with central obesity. Conclusions There exists some degree of correlation between sleep quality and central obesity among Chinese reproductive-aged women. These findings underscore the need for future public health guidelines to formulate some detailed strategies to improve sleep quality, such as preventing and intervening risk factors that influence sleep quality and suggesting optimal sleep duration, which might effectively reduce the incidence of central obesity in this population group.

scholarly journals Association between sleep quality and central obesity among southern Chinese reproductive-aged women

2020 ◽  
Author(s):  
Bingbing Li ◽  
Nan Liu ◽  
Donghui Guo ◽  
Bo Li ◽  
Yan Liang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Central Obesity ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Independent Contribution ◽  
Southern Chinese ◽  
Health Related ◽  
Reproductive Aged Women

Abstract Background Females are more prone to complain about sleep problems. Poor sleep quality in this group may make them more vulnerable to suffering obesity and other diseases, which can seriously affect their fitness and quality of life. Nevertheless, the connections between sleep quality and central obesity among reproductive-aged women are not clear. The aims of this study were to explore the association between sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) and central obesity among Chinese reproductive-aged women and to identify the independent contributions of sociodemographic characteristics, health-related factors, and sleep quality to central obesity. Methods In this cross-sectional survey, 2449 Chinese reproductive-aged women aged 18-49 years were studied. Sleep quality was assessed using the Chinese version of the PSQI. Central obesity as the outcome of interest was a binary variable; women were categorized as with versus without central obesity. Clustered logistic regression was used to analyze the independent contribution of sleep quality to central obesity. Results The risk of central obesity increased significantly with poor sleep quality (assessed by global PSQI score) (adjusted OR(Odds Ratio)=2.20 per SD increase; P=0.004), increased sleep disturbance score (adjusted OR=1.11 per SD increase; P=0.042) and decreased subjective sleep quality score (adjusted OR=0.81 per SD increase; P<0.001). The independent contribution of sleep quality was 9.9%, less than those of sociodemographic (73.3%) and health-related (16.8%) variables. Among complaints related to sleep disturbance, the inability to breathe comfortably and having bad dreams showed significant associations with central obesity. Conclusions There exists some degree of correlation between sleep quality and central obesity among Chinese reproductive-aged women. Understanding this link has public health relevance because of the important role sleep plays in health. It also has some implications for the discovery of novel strategies to prevent central obesity and the implementation of weight maintenance programs in this population group.

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

scholarly journals Prevalence of Sleep Disturbance and Potential Associated Factors among Medical Students from Mashhad, Iran

2020 ◽  
Vol 2020 ◽  
pp. 1-4
Author(s):  
Ahmad Janatmakan Amiri ◽  
Negar Morovatdar ◽  
Atefeh Soltanifar ◽  
Ramin Rezaee
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disorders ◽  
Associated Factors ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Study Objectives. A very limited number of studies have evaluated the prevalence of sleep problems, and related factors, in Iranian medical students. The aim of this study was to determine the prevalence of sleep disturbance and potential associated factors among medical students of Mashhad University of Medical Sciences, Mashhad, Iran. Methods. In this cross-sectional study, 315 medical students chosen by stratified random sampling participated in the academic year 2018-2019. The Pittsburgh Instrument and DASS-21 questionnaire were used to evaluate sleep quality and anxiety, depression, and stress, respectively. Also, demographic, educational, and socioeconomic information was collected. SPSS 16 software was used for data analysis. Results. Out of 300 students who completed the questionnaires, 165 (55%) were male, with a mean age of 21.94±2.28 years old. The prevalence of poor sleep quality was 51.3%. We did not find significant associations among age, sex, and poor sleep quality. Concurrent psychological symptoms such as stress, depression, and anxiety were significantly associated with sleep disorders. After adjusting variables in the multivariable regression model, depression (OR=2.81, 95% CI: 1.35-5.87; p=0.006) and the number of hours spent on using smartphones in 24 hours (OR=1.13, 95% CI: 1.02-1.25; p=0.01) were significantly associated with poor sleep quality among medical students. Conclusion. The prevalence of poor sleep quality among medical students was high, and we found that increased use of smartphones during the day and depression were associated with sleep disorders.

scholarly journals Dietary Approaches to Stop Hypertension (DASH) Score and Its Association with Sleep Quality in a National Survey of Middle-Aged and Older Men and Women

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1510
Author(s):  
Hailun Liang ◽  
Hind A. Beydoun ◽  
Sharmin Hossain ◽  
Ana Maldonado ◽  
Alan B. Zonderman ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Dash Score ◽  
Protective Effects ◽  
Related Factors ◽  
Cross Sectional ◽  
Dash Diet ◽  
Interaction Terms ◽  
Health Related

Complex processes appear to link sleep duration and quality with dietary patterns. Numerous studies show healthful benefits of the Dietary Approaches to Stop Hypertension (DASH) diet, but few have examined its association with sleep duration or quality. The current study tested cross-sectional associations of DASH diet quality score with sleep quality among adults. Analyses of participants were from the 2005–2008 wave of the National Health and Nutrition Examination Surveys (n = 3941 adults ≥30 years of age, complete data). We performed sex- and age group-stratified multiple OLS regression analyses with DASH total score and components as main predictors and sleep quality as main outcomes, adjusting sequentially for socio-demographic, behavioral and health-related factors. Sex and age differences in associations of DASH with sleep quality, adjusting for covariates, were also examined by incorporating two-way interaction terms between sex/age and the DASH score in each unstratified model. We found that the DASH diet score was inversely related to poor sleep-related daytime dysfunction adjusted by age, sex, demographic and socio-economic factors. Some sex-specific associations were detected between DASH diet component scores and sleep quality. Notably, the potassium DASH component was inversely associated with Factor 1 (“sleepiness and sleep disturbance”) among women. The fiber DASH component was associated with better sleep quality and inversely related to Factor 2 (“sleep-related daytime dysfunction”) in younger subjects. This study indicates health benefits of the DASH diet for sleep duration and quality. Future longitudinal studies and randomized placebo-controlled trials are required to ascertain protective effects.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Avoidance of Healthcare Utilization in South Korea during the Coronavirus Disease 2019 (COVID-19) Pandemic

2021 ◽  
Vol 18 (8) ◽  
pp. 4363
Author(s):  
Minjung Lee ◽  
Myoungsoon You
Keyword(s):  
General Population ◽  
South Korea ◽  
Healthcare Utilization ◽  
Online Survey ◽  
Negative Impact ◽  
Sociodemographic Characteristics ◽  
Related Factors ◽  
First Case ◽  
Significant Difference ◽  
Health Related

Avoidance of healthcare utilization among the general population during pandemic outbreaks has been observed and it can lead to a negative impact on population health. The object of this study is to examine the influence of socio-demographic and health-related factors on the avoidance of healthcare utilization during the global outbreak of a novel coronavirus (COVID-19) in 2020. Data were collected through an online survey four weeks after the Korea Centers for Disease Control and Prevention (KCDC) confirmed the first case in South Korea; 1000 subjects were included in the analysis. The logit model for regression was used to analyze the associations between sociodemographic and health-related factors regarding the avoidance of healthcare utilization. Among the participants, 73.2% avoided healthcare utilization, and there was no significant difference in the prevalence of healthcare avoidance between groups with (72.0%) and without (74.9%) an underlying disease. Sociodemographic characteristics (e.g., gender, age, income level, and residential area) were related to healthcare avoidance. Among the investigated influencing factors, residential areas highly affected by COVID-19 (i.e., Daegu/Gyeoungbuk region) had the most significant effect on healthcare avoidance. This study found a high prevalence of healthcare avoidance among the general population who under-utilized healthcare resources during the COVID-19 outbreak. However, the results reveal that not all societal groups share the burden of healthcare avoidance equally, with it disproportionately affecting those with certain sociodemographic characteristics. This study can inform healthcare under-utilization patterns during emerging infectious disease outbreaks and provide information to public health emergency management for implementing strategies necessary to improve the preparedness of the healthcare system.

scholarly journals Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sense Of Coherence ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Protective Effects ◽  
Cross Sectional ◽  
Health Related ◽  
The Mediterranean

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

Sleep quality and its correlation to general health status in health care students

2011 ◽  
Vol 26 (S2) ◽  
pp. 1565-1565 ◽  
Author(s):  
A. Sahraian ◽  
A. Javadpour ◽  
A. Mani
Keyword(s):  
Health Care ◽  
Health Status ◽  
Sleep Quality ◽  
General Health ◽  
Sleep Disruption ◽  
Poor Sleep ◽  
General Health Status ◽  
Health Care Students ◽  
Quality Sleep ◽  
Health Related

IntroductionSleep-wake cycle is one of human biological rhythm highly correlated to well being and general health status.Poor sleep quality, sleep disruption and changes in regular Sleep-wake pattern may cause physical and psychological burden such as impairment in job performance, decreased work efficiency and learning disability.ObjectiveHealth care students trained in medical, nursing and midwifery fields is a population who are at great risk to develop sleep disruption and its subsequent physical and mental morbidity.AimThe aim of this study was to describe how sleep quality correlated to general health status among 280 health care students.Methods280 health care students studying in health related fields participated in this cross section study. Pittsburg sleep quality index (PSQI), sleep- wake questionnaire and the general health questionnaire (GHQ) administered to gather data describing sleep quality, sleep wake disruption and the general health status.ResultsPreliminary results showed that 61.4% of subjects defined as poor sleeper. In further co relational analysis there was a significant correlation between sleep quality and general health status (r = .6, p = . 000, n = 280). Regression analysis showed that number of nights with sleep disruption due to shift work or academic needs was a strong predictor for both poor sleep quality and general health status.ConclusionIn conclusion, Sleep disruption due to shift work or other academic demands is a predictor for poor sleep and its subsequent mental health morbidity, which should be considered as a part of mental health policy for health related college students.

Sleep Disturbance in Psoriatic Disease: Prevalence and Associated Factors

2017 ◽  
Vol 44 (9) ◽  
pp. 1369-1374 ◽  
Author(s):  
Ian T.Y. Wong ◽  
Vinod Chandran ◽  
Suzanne Li ◽  
Dafna D. Gladman
Keyword(s):  
Psoriatic Arthritis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Short Form ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psoriatic Disease ◽  
Patient Reported

Objective.We aimed to determine the prevalence and quality of sleep in patients with psoriatic arthritis (PsA) and those with psoriasis without PsA (PsC) followed in the same center, to identify factors associated with sleep disturbance, and to compare findings to those of healthy controls (HC).Methods.The study included 113 PsA [ClASsification for Psoriatic ARthritis (CASPAR) criteria] and 62 PsC (PsA excluded by a rheumatologist) patients and 52 HC. Clinical variables were collected using a standard protocol. The sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Other patient-reported outcomes collected included the Health Assessment Questionnaire (HAQ), Dermatology Life Quality Index, EQ-5D, Medical Outcomes Study Short Form-36 survey, patient’s global assessment, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-fatigue) scale. Statistical analyses included descriptive statistics, Wilcoxon rank-sum test, and linear regression.Results.The prevalence of poor sleep quality was 84%, 69%, and 50% in PsA, PsC, and HC, respectively. Total PSQI score was higher in both patients with PsA and patients with PsC compared with HC (p < 0.01) and higher in patients with PsA compared to patients with PsC (p < 0.0001). EQ-5D anxiety component, EQ-5D final, and FACIT-fatigue were independently associated with worse PSQI in patients with PsC and those with PsA (p < 0.05). Actively inflamed (tender or swollen) joints are independently associated with worse PSQI in patients with PsA (p < 0.01).Conclusion.Patients with psoriatic disease have poor sleep quality. Poor sleep is associated with fatigue, anxiety, and lower EQ-5D. In patients with PsA, poor sleep is associated with active joint inflammation.

Associations of health-related quality of life with sociodemographic characteristics, health, pain, and lifestyle factors, and motivation for changing lifestyle in adults living with chronic pain: a cross-sectional exploratory study

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Svetlana Solgaard Nielsen ◽  
Søren T. Skou ◽  
Anette Enemark Larsen ◽  
Jens Søndergaard ◽  
Jeanette Reffstrup Christensen
Keyword(s):  
Quality Of Life ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Lifestyle Factors ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Related Quality ◽  
Health Related ◽  
Study Population

Abstract Objectives We investigated the associations between health-related quality of life (HRQoL) and health, pain and lifestyle factors, as well as motivation for lifestyle changes, in adults living with chronic pain referred to a Danish pain centre. Methods A total of 144 outpatients completed a questionnaire on HRQoL (EQ-5D-5L), health, pain, lifestyle factors (Body Mass Index [BMI], physical activity, smoking, alcohol, physical fitness, eating, sleep and stress) and motivation for lifestyle changes. We used multiple linear regression analyses to assess associations between HRQoL and the independent variables. Results The participants (age mean 50 years, 81% females) had ≥2 body pain sites (93%), BMI≥25 (64%), sedentary lifestyle (43%) and multiple (n≥2) elevated metabolic risk factors (58%). Most considered lifestyle important for HRQoL (72%) and expressed moderate to very high motivation for changing lifestyle (92%). Poorer HRQoL in the study population was significantly associated with higher pain intensity in the most painful body site (β=−0.316, p=0.001) and very poor sleep quality (β=−0.410, p=0.024). Serious-to-extreme problems in usual activities were associated with significantly poorer health (β=−0.328, p=0.030). Conclusions Adults living with chronic pain participating in this survey had significantly lower self-evaluated HRQoL than the general population. Lower HRQoL was significantly associated with greater pain intensity and poor sleep quality. Serious-to-extreme problems in usual activities, such as work, study, housework, family and leisure, were associated with poorer self-evaluated health. We observed high frequencies of overweight, obesity, sedentary lifestyle, pain in multiple body sites and multiple lifestyle-related risk factors in the study population. Most participants felt motivated for changing lifestyle. Further interventions addressing pain alleviation, sleep quality, prevention of problems in usual activities and promotion of healthy lifestyle, e.g. physical activity and healthy eating, are needed to estimate the effect of a lifestyle-oriented approach on health and quality of life in people living with chronic pain. The results of this study will inform the research project reg. SJ-703, the Danish the Research Ethics Committee for Region Zealand, Denmark.

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