Poor sleep quality and lipid profile in a rural cohort (The Baependi Heart Study)

Effects of portable pedal machines at work on lipoprotein subfraction profile in sedentary workers - the REMOVE study

BACKGROUND

Sedentary behaviour at work is a major cause of atherosclerosis, particularly in tertiary workers. However, no studies have ever assessed the effect of active workstation on lipoprotein subfraction profile. This study aimed to evaluate the effect of 12-week portable pedal machines (PPMs) on lipoprotein subfraction profile among healthy sedentary workers.

METHODS

Healthy administrative workers were randomized into an intervention group using PPMs for 12 weeks or a control group using normal-desk. Lipoprotein subfractions were assessed using Lipoprint® electrophoresis. Main outcomes were explored using mixed models with sensitivity analyses (four models).

RESULTS

We included 40 participants (43.7 ± 8.6 years old, 100% women, BMI 23.8 ± 3.4 kg/m2; sedentary time at work 7.7 ± 1.8 h/day). Groups did not differ at baseline in any outcomes. 32 participants finished the trial. Changes in lipoprotein subfractions were especially marked for LDL profile. There was an interaction time x group for all parameters related to LDL and their subfractions: total LDL-cholesterol (p = 0.012), LDL particle size (p = 0.027), large LDL subfractions 1 and 2 (p = 0.001), and small dense LDL subfractions 3 to 7 (p = 0.046), using the crude model. The interaction reflects difference in the direction of changes between groups. The LDL particle size significantly increased in the intervention group (from 271.9 ± 2.5 at t0 to 272.8 ± 1.9 Ångström at t1, p = 0.037) while it did not change in the control group (272.5 ± 1.7 at t0 to 271.8 ± 1.5Å at t1, p = 0.52). All interactions were constantly significant whatever the models. Influencing variables were mainly stress at work that was associated with an increase in total LDL-cholesterol (coefficient 3.15, 95CI 0.20 to 6.11 mg/dl, p = 0.038), and BMI that was associated with Large-LDL, Large-HDL, IDL-C and triglycerides.

CONCLUSIONS

Lipoprotein profile was improved after a 12-week PPMs intervention at work in healthy administrative workers. Changes were mainly showed for LDL and LDL subfractions. Lipoprotein profile was worsened by stress at work, BMI and age.

TRIAL REGISTRATION

NCT04153214.

Is poor sleep quality associated with lipid profile in elderly population? Finding from Iranian Longitudinal Study on Ageing

BACKGROUND

Abnormal lipid profile as one of reversible cardiovascular disease risk factors might be affected by poor sleep quality.

AIM

This study aimed to assess the association between poor sleep quality and serum concentration of lipid profile in Iranian elderly population.

METHODS

The study was performed on a representative sample of 3452 Iranian older people (≥60 years) who contributed in the Iranian Longitudinal Study on Ageing (IRLSA). Sleep quality was measured through the validated Persian version of Pittsburgh Sleep Quality Index (PSQI). Fasting blood samples were collected from the participants to measure plasma levels lipid profile. We used multiple linear regression model to evaluate the independent association of poor sleep quality with lipid profile.

RESULTS

The mean age of participants was 68.0±6.7 years and 52.5% of them were male. In total, 52.4% of study population reported poor sleep quality (PSQI>5). Mean serum concentration of triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was 143.2±74.2 mg/dl, 195.6±43.2 mg/dl, 112.9±31.0 mg/dl, and 57.3±12.4 mg/dl, respectively. Poor sleep quality was significantly associated with serum levels of TG (β=17.85; P=0.006), LDL-C (β=5.45; P=0.039) and HDL-C (β=-2.13; P=0.039) after adjusting for studied covariates.

CONCLUSION

Our study illustrates that poor sleep quality is a risk factor for poorer lipid profile. Therefore, early behavioral or pharmacological interventions that improve sleep quality are necessary to modify lipid profile in elderly population.

Sleep in psoriasis: A meta-analysis

OBJECTIVE

Currently, there are discrepant results regarding the quantitative effect of psoriasis on sleep, which may, in part, be attributed to the use of non-standardised questionnaires.

METHODS

The PubMed/Medline, Embase, and Cochrane databases were searched for cross-sectional, case-control or cohort studies that recruited patients with psoriasis and healthy controls and reported data regarding Pittsburgh Sleep Quality Index (PSQI) and the prevalence of sleep disturbance (SD) based on the PSQI, published from inception up to January 2023. Secondary outcomes included scores for the Insomnia Severity Index (ISI), Beck Depression Inventory (BDI), and Epworth Sleepiness Scale (ESS), and risk for restless legs syndrome (RLS). Meta-analyses using random-effects models were used for statistical analyses.

RESULTS

Fifteen studies including 1274 patients with psoriasis and 775 controls were analysed. A higher PSQI (weighted mean difference [WMD] = 3.397, P < 0.001, I2 = 84.2%) and a higher risk for SD (odds ratio [OR] = 6.640, P < 0.001, I2 = 67.5%) were observed in patients with psoriasis compared with controls. Subgroup analyses revealed a greater difference in PSQI score and/or risk for SD between patients with psoriasis and controls in subgroups of psoriatic arthritis, moderate-to-severe psoriasis, shorter psoriasis duration, and younger age. Moreover, patients with psoriasis exhibited higher ISI (WMD = 2.709, P < 0.001) and BDI scores (WMD = 4.565, P = 0.001), and risk for RLS (OR = 4.689, P = 0.01). However, there was no significant difference in ESS scores (WMD = -0.229, P = 0.77) compared with controls.

CONCLUSION

Psoriasis was associated with poor sleep quality and higher risk for SD, especially among patients with psoriatic arthritis, severe psoriasis, shorter duration of psoriasis, and younger age. Patients with psoriasis were also more likely to experience insomnia, RLS, and depression.

The Relationships between Various Factors and Sleep Status: A Cross-Sectional Study among Healthy Saudi Adults

Impaired sleep can adversely affect daily life. This study assesses the association between different factors and sleep status among apparently healthy Saudi adults. In total, 478 adults were included in this study. Data on anthropometrics, body composition, stress scales, physical activity, and dietary habits were collected. Fasting blood glucose and lipid profile were measured. Sleep quality and duration were assessed using the Pittsburgh Sleep Quality Index. Larger neck circumference (NC) was associated with short sleep duration (odds ratio (OR) 1.23; 95% confidence interval (CI) [1.08, 1.41]; p = 0.002). Higher triglyceride levels were associated with poor sleep quality (OR 1.01; 95% CI [1.002, 1.02]; p = 0.019) and short sleep duration (OR 1.01; 95% CI [1.004, 1.02]; p = 0.005). Stress was a risk factor for poor sleep quality (OR 1.15; 95% CI [1.09, 1.22]; p < 0.001). Being married was significantly associated with good sleep quality (OR 2.97; 95% CI [1.32, 6.71]; p = 0.009), while being single was correlated with longer sleep duration (OR 0.46; 95% CI [0.22, 0.96]; p = 0.039). Other factors such as having a larger waist circumference and more muscle mass were protective factors against poor sleep quality and/or short sleep duration. In conclusion, a larger NC is suggested as a risk factor for short sleep duration and a higher triglyceride level for both short and poor sleep among healthy Saudis. Investigating the factors associated with sleep status may help alleviate sleep disturbances and improve overall health. Further studies are needed to confirm causality using objective sleep measures.

Metabolic risk factors and psychosocial problems independently explain poor sleep quality and obstructive sleep apnea symptoms among adults in urban India

STUDY OBJECTIVES

To determine if metabolic risk factors are associated with poor sleep quality and obstructive sleep apnea-like symptoms (OSA symptoms) independent of psychosocial problems and demographic and lifestyle factors in older Indian adults.

METHODOLOGY

We analyzed baseline data from adults (≥ 50 years) from a population-based cohort, the LoCARPoN study, in India. Variables were grouped as (a) demographic and lifestyle factors such as smoking, alcohol use, and physical activity; (b) psychosocial problems including symptoms of depression, anxiety, and perceived stress; and (c) metabolic risk factors including glycated hemoglobin, high-density lipoprotein, low-density lipoprotein, total cholesterol, body mass index, and hypertension. Variables were examined as predictors of poor sleep quality and OSA symptoms. Groups of variables were added stepwise to a logistic regression. Variance explained by nested models was quantified using McFadden's pseudo R2, and change was formally tested with the log-likelihood ratio test.

RESULTS

Among 7505 adults, the prevalence of poor sleep quality was 16.9% (95% CI: 16.0, 17.7), and OSA symptoms were present in 7.0% (95% CI: 6.4, 7.6). Psychosocial problems had a strong independent association with both poor sleep quality (pseudo R2 increased from 0.10 to 0.15, p < 0.001) and more OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). Metabolic risk factors had a modest independent association with sleep quality (pseudo R2 increased from 0.14 to 0.15, p < 0.01), but a strong association with OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001).

CONCLUSION

Psychosocial and metabolic risk factors were independently associated with sleep quality and OSA symptoms. This fact implied that OSA symptoms may affect both mental health and physical health. Our findings have public health implications because the number and proportion of the elderly in India is increasing, while the prevalence of metabolic risk factors and psychosocial problems is high already. These facts have the potential to exacerbate not only the burden of sleep disorders and OSA symptoms but also associated cardiovascular and neurologic sequelae, further stretching the Indian health-care system.

Poor subjective sleep reported by people living with HIV is associated with impaired working memory

Poor sleep can undermine health and may be especially disruptive to those with chronic conditions including HIV infection. Here, clinically well-described people living with HIV [PLWH] (74 men, 35 women) and healthy control (38 men, 35 women) participants were administered the Pittsburgh Sleep Quality Index (PSQI), a validated measure of subjective sleep with a global score ≥5 able to distinguish good from poor sleepers. In addition, participants completed a battery of neuropsychological tests. PLWH (6.8 ± 3.7) had higher global PSQI scores than healthy controls (4.1 ± 2.8): 39.7 % of uninfected controls and 68.8 % of PLWH had a PSQI≥5 indicative of poor sleep. There were no relations between the global PSQI score and any evaluated variables among uninfected individuals or with demographic or HIV-related variables in PLWH. Instead, a higher global PSQI score among PLWH was associated with worse "Quality of Life" scores [Global Assessment of Functioning (GAF, p=0.0007), Medical Outcomes Study survey (21-item short form, SF-21, p<0.0001), and Activities of Daily Living-Instrumental (ADL-I, p=0.0041)] and higher Beck Depression Index (BDI, p<0.0001) depressive symptoms. Further, in PLWH, higher global PSQI scores were associated with poor performance on a working memory task, the digit backward span (p=0.0036). In PLWH, the 5 variables together explained 32.3 % of the global PSQI score variance; only 3 variables - the SF-21, BDI, and digit backward scores - explained 30.6 % of the variance. To the extent that poor subjective sleep contributes to impaired working memory in HIV, we speculate that this impairment may be ameliorated by improved sleep health.

The relationship between sleep quality, snoring symptoms, night shift and risk of stroke in Chinese over 40 years old

Objectives

To analyze the relationship between sleep quality, snoring symptoms, night shift and risk of stroke in Chinese population over 40 years old.

Methods

Based on the national screening and intervention program for high-risk population of stroke in 2016, 15,016 people completed the study of “the association between sleep and stroke,” 58,696 people completed the snoring questionnaire, and 58,637 people completed the night shift questionnaire.

Results

The proportion of coronary heart disease, hypertension, hyperlipidemia, diabetes, snoring, atrial fibrillation, stroke and high-risk group of stroke risk rating were higher in the group with poor sleep quality (p &lt; 0.05). The proportion of high blood pressure, hyperlipidemia, diabetes, atrial fibrillation, transient ischemic attack (TIA), or high-risk group of stroke risk rating was higher in snoring group (p &lt; 0.05). The body mass index (BMI), waist circumference, neck circumference, fasting blood glucose, triglyceride (TG), total cholesterol (TC), low density lipoprotein (LDL) and homocysteine (Hcy) levels in snoring group were higher than the non-snoring group, and high density lipoprotein (HDL) levels were lower (p &lt; 0.05). People with TIA, high risk for stroke, and high blood pressure were higher in night shift workers than non-night shift workers (p &lt; 0.05). The levels of BMI, fasting blood glucose, 2 h postprandial blood glucose, glycated hemoglobin, TG, TC, LDL, HDL and Hcy in night shift group were lower than the non-night shift group (p &lt; 0.05).

Conclusion

Sleep quality, snoring and night shift might be related to the risk factors of stroke.

Short night-time sleep duration is associated with thyroid nodules: A community-based survey from Guangzhou, China

BACKGROUND

Sleep plays a critical role in maintaining human health. This study aimed to explore the association between sleep status and thyroid nodules.

METHODS

A total of 2414 individuals aged 18 or older with euthyroidism were enrolled in this community-based survey. Sleep status was self-reported. Thyroid ultrasonography was performed to measure nodules. Multiple logistic analyses were applied to adjust for confounding factors.

RESULTS

The percentages of thyroid nodules among individuals who slept <5 hours, 5-8 hours, and >8 hours per night were 57.79% (115/199), 44.19% (833/1885) and 42.73% (141/330), respectively (p = 0.001). Individuals who slept <5 hours per night had a significantly higher percentage of thyroid nodules than those who slept 5-8 hours per night (57.79% vs. 44.19%, p = 0.001) or >8 hours per night (57.79% vs. 42.73%, P < 0.001). However, no similar result was shown between individuals who slept >8 hours and 5-8 hours per night (42.73% vs. 44.19%, p = 0.621). Multiple logistic analysis showed that a sleep duration of <5 hours per night was significantly associated with thyroid nodules (odds ratio (OR) 1.643, 95% confidence interval (CI) 1.084-2.490, p = 0.019) when compared to a sleep duration of >8 hours per night. However, a sleep duration of <5 hours per night was not associated with thyroid nodules compared to a sleep duration of 5-8 hours (OR 1.294, 95% CI 0.918-1.824, p = 0.141). Similarly, no significant differences were seen among sleep duration per day, time of falling asleep, habit of daytime napping or thyroid nodules in multiple logistic analyses (all p > 0.05).

CONCLUSIONS

Short nighttime sleep duration was associated with thyroid nodules in our community-based population. Screening for thyroid nodules among these individuals is recommended.

Early Vascular Aging in Obese Individuals with Low Cardiovascular Health

INTRODUCTION

The American Heart Association updated the original recommendations for cardiovascular health (CVH) promotion, defining the Life's Essential 8 (L8).

AIM

the aim of this cross-sectional study was to compare vascular function, central hemodynamics and autonomic modulation in obese individuals with low and moderate CVH-L8.

METHODS

Both sexes, aged 40-70 years and Body Mass Index ≥ 30 and < 40 kg/m², were submitted to anthropometric and biochemical evaluation, assessment of heart rate variability, endothelial function by flow-mediated dilatation (FMD) and central parameters by oscillometry. The CVH-L8 score was determined using the eight metrics defined in the new classification.

RESULTS

Patients (n = 82) were divided according to CVH-L8 classification: moderate group (score CVH-L8 ≥ 50 ≤ 79 points, n = 47) and low group (score CVH-L8 ≤ 49 points, n = 35). Peripheral (119 ± 10 vs 125 ± 15 mmHg, p = 0.048) and central (111 ± 10 vs 118 ± 15 mmHg; p = 0.016) systolic blood pressures and pulse wave velocity (PWV) adequacy (- 0.08 ± 0.34 vs 0.15 ± 0.42 m/s, p = 0.008) were significantly higher in low CVH-L8 group. Brachial FMD (9.24 ± 5.41 vs 6.79 ± 4.74%, p = 0.043) were lower in this same group. Only in the low CVH-L8 group low frequency/high frequency (LF/HF) ratio was significantly correlated with PWV (r = 0.338, p = 0.047) and atherogenic index of plasma with Framingham risk score (r = 0.446, p = 0.008), even after adjustment for age and sex.

CONCLUSION

In this sample of obese individuals, low CVH-L8 was associated with higher peripheral and central blood pressures, and evidence of early vascular aging with arterial stiffness and endothelial dysfunction.

Sleep profile status based on substance use, lipids and demographic variables in Tabari cohort study

BACKGROUND

This study aims to investigate the situation of sleep profile and its related factors in the Tabari Cohort Tabari (TCS) population.

METHODS

The information of 10255 of the Tabari cohort population in the enrolment phase was used in this study. The sleep profile data was collected and recorded by trained questioners. The sleep duration in day & night, the time interval between going bed and falling asleep, continuous use of sedatives, involuntary nap, limb hypermobility during sleep and shift working were determined for each person. Data analysis was performed by independent T test and Pearson correlation coefficient.

RESULTS

Mean, standard deviation, median, minimum and maximum of sleep duration in this population were 7.6, 1.6, 7.5, 0.5 and 17 h. Frequency of sleeping less than 6 h, 6-10 h and more than 10 h were 1168(11.4%), 8463(82.5%) and 624(6.1%) respectively. Prevalence of sleeping more than 10 h among men and women were 5% and 6.8% respectively (P < 0.001). Prevalence of sedative routine use among men and women were 4.7% and 9.6% respectively (P < 0.001). There were significant relationships between sleep duration and area residence, age group (P < 0.001), education level (P < 0.001), socioeconomic level (P < 0.001), triglyceride (P = 0.002), HDL-cholesterol (P = 0.013) and Cholesterol total (P = 0.021). There was a negative correlation between age and sleep duration (r = -0.062, P < 0.001).

CONCLUSION

The results showed the association of the quality and quantity of sleep with personal, social, environmental and biological factors such as gender, age, economic status, educational status, and lipid profile. Therefore without proper intervention, the incidence of outcomes associated with these risk factors can be predicted in TCS In later years.

Long-term exposure to ambient black carbon is associated with sleep disturbance in college students

BACKGROUND

Evidence suggests an association of air pollution with sleep quality. However, there is limited knowledge regarding the effect of black carbon, a key component of ambient particulate matter, on sleep.

OBJECTIVES

To investigate the association of long-term exposure to black carbon and sleep quality in a group of college students.

METHODS

A retrospective cohort study was conducted in five universities in different regions of China. The concentrations of black carbon and other environment factors were defined as the averages during the 6 years prior to the recruitment. Averagely daily dose of black carbon exposure was estimated according to the respiratory rate. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) with a cutoff >5 indicating sleep disturbance. Linear regression and logistic regression models were used to estimate the association. The sensitivity analyses were conducted to estimate the effects of 1-month, 6-month and 1-year mean levels of exposure to black carbon on sleep quality.

RESULTS

A total of 20,053 incoming college students were included. 29.3% reported impaired sleep quality, with a mean PSQI score of 4.3 ± 2.2. The logistic regression showed that the risk of impaired sleep quality was positively associated with black carbon exposure, especially in the highest quantile (OR: 1.26, 95% CI: 1.11-1.43) compared with the lowest quartile after adjusting for potential confounders. Subgroup analysis showed that the effect of black carbon on sleep quality was stronger in participants with higher BMI, lower household income, and lower parental educational level. The results of sensitivity analyses were similar with main analyses.

CONCLUSION

Long-term exposure to black carbon is associated with sleep disturbance in college students. Improvement of air quality may help improve sleep quality.

Association between self-reported sleep characteristics and cardiovascular risk factors:

AbstractWe analyzed the association between self-reported sleep characteristics and the prevalence of major cardiovascular disease (CVD) risk factors attending to the potential effect of physical activity (PA) and weight status. A large cohort of Spanish workers (n = 527,662; 32% female, 44 ± 9yrs) participated in this cross-sectional study. We assessed participants' self-reported indicators of sleep quantity (short [<6 h/d], normal [6-9 h/d] or long [>9 h/d]) and quality (unrestful or restful, and difficulties or not falling asleep) as well as the presence of major CVD risk factors (diabetes, hypertension and hypercholesterolemia); and categorized participants based on PA ('inactive', 'insufficiently active' or 'regularly active') and weight status (normal weight, overweight or obesity). Impairments in any sleep quantity or quality indicator, respectively, were significantly (p < 0.05) associated with the prevalence of at least one CVD risk factor. Yet, being physically active and having normal weight markedly attenuated these associations. Thus, individuals with poor sleep quantity or quality but who were physically active and had normal weight showed no different risk of hypertension or diabetes than those with normal sleep characteristics, albeit the former still presented a higher risk of hypercholesterolemia if they reported short sleep (+5% vs. normal duration, p = 0.047), unrestful sleep (+9% vs. restful, p < 0.001) or having difficulties to fall asleep (+48% vs. no difficulties, p < 0.001). The present findings support the need for maintaining optimal PA levels and weight status in order to minimize the CVD risk associated with poor sleep quantity or quality.

Poor self-reported sleep is associated with risk factors for cardiovascular disease: A cross-sectional analysis in half a million adults

BACKGROUND

Sleep is known to affect cardiovascular health, but some controversy exists on the independent association between different sleep characteristics (duration, restfulness, difficulties falling asleep) and specific risk factors for cardiovascular disease (CVD). We aimed to assess the association between self-reported sleep characteristics and the likelihood of major CVD risk factors.

METHODS

Totally, 521,364 Spanish workers (32% female, 44 ± 9 years [18-64]) insured by an occupational risk prevention company participated in this nationwide cross-sectional study. Participants' sleep was considered 'poor' if they reported having ≥1 of the following conditions: excessively short (<6 h/d) or long (>9 h/d) sleep, unrestful sleep, or difficulties to fall asleep. We assessed the independent association between aforementioned sleep characteristics and the prevalence of hypertension, diabetes, hypercholesterolaemia, obesity and physical inactivity.

RESULTS

Poor sleep (reported by 33% of participants) was associated with a higher likelihood of presenting all CVD risk factors individually, particularly physical inactivity (which prevalence was ~3-fold higher in the poor sleep group compared with participants reporting no sleep abnormality). In separate analyses, all the different sleep characteristics were associated with the likelihood of ≥2 CVD risk factors. Participants with optimal sleep, normal sleep duration, no difficulties falling sleep and restful sleep showed a lower total CVD risk score than their peers with poor sleep, short sleep duration, difficulties falling sleep and unrestful sleep, respectively (all p < .001).

CONCLUSIONS

Poor sleep was associated with a higher likelihood of presenting major CVD risk factors. These findings might support the importance of monitoring and improving sleep patterns for primary CVD prevention.

Emerging Evidence of Pathological Roles of Very-Low-Density Lipoprotein (VLDL)

Embraced with apolipoproteins (Apo) B and Apo E, triglyceride-enriched very-low-density lipoprotein (VLDL) is secreted by the liver into circulation, mainly during post-meal hours. Here, we present a brief review of the physiological role of VLDL and a systemic review of the emerging evidence supporting its pathological roles. VLDL promotes atherosclerosis in metabolic syndrome (MetS). VLDL isolated from subjects with MetS exhibits cytotoxicity to atrial myocytes, induces atrial myopathy, and promotes vulnerability to atrial fibrillation. VLDL levels are affected by a number of endocrinological disorders and can be increased by therapeutic supplementation with cortisol, growth hormone, progesterone, and estrogen. VLDL promotes aldosterone secretion, which contributes to hypertension. VLDL induces neuroinflammation, leading to cognitive dysfunction. VLDL levels are also correlated with chronic kidney disease, autoimmune disorders, and some dermatological diseases. The extra-hepatic secretion of VLDL derived from intestinal dysbiosis is suggested to be harmful. Emerging evidence suggests disturbed VLDL metabolism in sleep disorders and in cancer development and progression. In addition to VLDL, the VLDL receptor (VLDLR) may affect both VLDL metabolism and carcinogenesis. Overall, emerging evidence supports the pathological roles of VLDL in multi-organ diseases. To better understand the fundamental mechanisms of how VLDL promotes disease development, elucidation of the quality control of VLDL and of the regulation and signaling of VLDLR should be indispensable. With this, successful VLDL-targeted therapies can be discovered in the future.

Health problems associated with single, multiple, and the frequency of months of objectively measured long working hours: a cohort study by the National Institute of Occupational Safety and Health, Japan

Purpose

We aimed to examine the prospective associations of monthly working hours measured in a month, the 6-month averaged hours, and the frequency of long working hours (≥ 205 h/month) during the past 6 months with health indicators.

Methods

This study included 6,806 Japanese company workers (response rate = 86.6%). Data on the workers’ monthly attendance during the second half of fiscal year 2016 and annual health checkups in fiscal years 2016 and 2017 were collected. We evaluated the association of the above three types of monthly working hours with subsequent health checkup data in fiscal year 2017. We adjusted for the corresponding data in fiscal year 2016.

Results

Multivariate logistic regression analyses revealed significant associations between monthly working hours and workers’ systolic and diastolic blood pressure as well as aspartate aminotransferase, alanine aminotransferase, low-density lipoprotein cholesterol (LDL), and triglyceride levels. However, the associations were not consistent between months. The average monthly working hours were significantly associated with higher LDL levels for the 220–240 h/mo group (OR: 1.49, 95%CI: 1.07–2.08) and lower triglyceride levels for the < 140 h/mo group (OR: 0.15, 95%CI: 0.03–0.77), compared to the 140–180 h/mo group. The frequency of long working hours was significantly associated with higher LDL levels.

Conclusions

Working hours over several months produced various associations with health indicators compared to those measured in a single month. Our present data suggest that the effects of average or frequency of long working hours during the past 6 months are likely to appear in LDL levels.

The association of sleep quality and night sleep duration with coronary heart disease in a large-scale rural population

OBJECTIVE

The purposes of the present study were to explore independent and interactive associations between night sleep duration, night sleep quality and coronary heart disease (CHD) based on a rural population in China.

METHODS

A total of 27,935 participants (11,177 men and 16,758 women) were investigated from the Henan Rural Cohort. Information about sleep was assessed by using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between night sleep duration and quality with CHD.

RESULT

Among the 27,935 participants, 1506 participants with CHD were identified. Compared with participants with scores lower than 3, the odds ratios (ORs) and 95% confidence intervals (95% CIs) of participants with score of 3-5, 6-8, ≥9 were respectively 1.42 (1.24-1.63), 1.99 (1.70-2.33), and 2.56 (2.13-3.08) with full adjustment of covariates. Compared with night sleep duration of 7 h, men and women who slept less than 5 h were 1.55 (1.11-2.17), 1.12 (0.59-2.12) and 1.80 (1.20-2.68), after being adjusted ORs (95% CIs) of the total. Moreover, the ORs and 95% CIs of CHD increased with the shortening of sleep duration at PSQI score above the highlighted levels.

CONCLUSION

Poor sleep quality and short night sleep duration were all associated with CHD in Chinese rural areas. Moreover, the association was more obvious in women. In addition, the strongest prevalence of CHD was found in short sleepers with poor sleep quality.

The Assessment of Risk and Predictors of Sleep Disorders in Patients with Psoriasis-A Questionnaire-Based Cross-Sectional Analysis

Psoriasis is a chronic, inflammatory skin disease affecting 2-4% of the general population. Accompanying subjective symptoms (pruritus or pain) may cause decreased life quality including sleep disorders (SD). Sixty psoriatic patients fulfilled the following questionnaires: Pittsburgh Sleep Quality Index (PSQI), STOP BANG for the obstructive sleep apnea syndrome (OSAS) assessment, and Restless Legs Syndrome (RLS) Severity Scale. Patients' laboratory and clinical data were also investigated. All data obtained were compared to 40 participants without dermatoses. Mean PSQI, risk of OSAS, and RLS severity of psoriatics were significantly higher than in controls (p < 0.0001, p < 0.05, p < 0.05 respectively). There was a positive correlation between the time of suffering from psoriasis and the risk of OSAS (R = 0.286, p < 0.05). We did not observe any significant relationship between PSQI, risk of OSAS, or RLS and psoriasis severity assessed with PASI (Psoriasis Area and Severity Index). We identified four possible predictors of RLS: glucose, CRP and total cholesterol concentrations, and PSQI. SD are significantly more frequent in psoriatics than in people without chronic dermatological diseases but surprisingly they are not correlated with psoriasis severity. SD decrease patients' life quality and may result in serious consequences. Therefore, establishing recommendations concerning screening for SD and their predictors should be considered.

Urban-rural differences in the effect of empty-nest on mental health and behaviors of Chinese older population

This study aimed to comprehensively analyze the effect of empty-nest on mental health and behaviors of the older population and explore the urban-rural differences. Data from the Cohort of Older People Health and Environment Controllable Factors were used, including 1071 older people aged 60 or over from a rural and an urban. Mental health, daily life behaviors, chronic physical diseases, and activities of daily living were evaluated. Logistic regression was used. The prevalence of empty-nest in older people was 55.0% in urban and 58.7% in rural. The empty-nest older people in urban were more likely to participate in physical exercise (OR[95%CI]: 1.55[1.03-2.31]), while the empty-nest older people in rural had lower rate of smoking (OR[95%CI]: 0.46[0.28-0.76]) and religious belief (OR[95%CI]: 1.61[1.01-2.58]), and higher prevalence of depression (OR[95%CI]: 1.55[1.03-2.35]) and higher level of total cholesterol (OR[95%CI]: 1.51[1.03-2.19]) compared with the non-empty-nest older people. In conclusion, the prevalence of empty-nest in older people was high both in rural and urban in China. Empty-nest exerts greater influences on the older people in rural than in urban, which should be given more attention, especially the depression and high total cholesterol.

Association between residential greenness and sleep quality in Chinese rural population

BACKGROUND

Epidemiological studies on the association of residential greenness with sleep quality are limited in China.

OBJECTIVE

This study aims to investigate the association of long-term exposure to residential greenness with sleep quality in rural China.

METHODS

In our study, 27,654 rural residents were selected from 4 counties of Henan Province by a multi-stage stratified cluster sampling method. Participants' sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), two satellite-derived vegetation indexes, were used to assess the level of residential greenness. Long-term greenness exposure was defined as the averages of NDVI and EVI during the three years prior to the baseline survey. The relationship between sleep quality and greenness was assessed using the mixed-effect linear regression models.

RESULTS

Among 27,654 rural residents, the mean age was 55.89 years (standard deviation, SD = 12.22) and 60.18% of them were female. In the crude model, the PSQI score decreased with per interquartile range (IQR) increase in EVI and NDVI [ΔPSQI score (95% confidence interval, 95%CI): -0.073 (-0.115, -0.030) and -0.047 (-0.089, -0.002)]. After controlling potential confounders, ΔPSQI scores and 95%CIs were -0.055 (-0.095, -0.012) and -0.090 (-0.151, -0.025) associated with per IQR increment in EVI and NDVI. The results of stratified analyses showed the effect of residential greenness on sleep was stronger among males and individuals with higher household income and educational attainment than females and those with lower household income and educational attainment. Moreover, the modification effect of air pollution was observed in the greenness-sleep association.

CONCLUSIONS

Our study indicated that higher residential greenness was significantly associated with better sleep quality in Chinese rural population, which highlights the significant effect of green space on human health.