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

The Impact of Self-Management Abilities, Sleep Quality, and Anxiety on the Well-Being of Patients With Benign Prostatic Hyperplasia: A Cross-Sectional Analysis

Current benign prostatic hyperplasia (BPH) management prioritizes urological symptoms while neglecting psychological impacts on subjective well-being (SWB). Although chronic disease-SWB associations are established, limited evidence exists regarding interactive effects of psychosocial factors (sleep, anxiety, self-management) in BPH populations. This multicenter cross-sectional study enrolled 412 BPH patients from 6 tertiary hospitals in Northwest China. Validated instruments assessed key variables: Pittsburgh Sleep Quality Index for sleep quality, Self-Rating Anxiety Scale for psychological distress, Memorial University of Newfoundland Happiness Scale for SWB, and Chinese Self-Management Ability Scale for behavioral competencies. Structural equation modeling elucidated pathway relationships. Of the patients, 72.5% experienced sleep disorders, and 79.0% reported anxiety. Regression analysis indicated that income (β = 1.378, P < .01) and self-management abilities (β = 0.074, P < .01) positively impacted SWB, while anxiety (β = -0.155, P < .01) and sleep disorders (β = -0.581, P < .01) negatively affected it. The structural equation model revealed a direct effect of self-management abilities on SWB of 0.20 and an indirect effect of 0.16. This study contributes to the field by proposing a comprehensive, patient-centered model of care that can improve both the quality of life and long-term outcomes for BPH patients.

Associations of circulating total p-cresylsulfate and indoxyl sulfate concentrations with central obesity in patients with stable coronary artery disease: sex-specific insights

BACKGROUND/AIMS

Elevated systemic inflammation, common in obesity, increases cardiovascular disease risk. Obesity is linked to a pro-inflammatory gut microbiota that releases uremic toxins like p-cresylsulfate (PCS) and indoxyl sulfate (IS), which are implicated in coronary atherosclerosis, insulin resistance, and chronic kidney disease. This study examines the relationship between total PCS and IS levels and central obesity in patients with stable coronary artery disease (CAD).

METHODS

A cross-sectional study was conducted on 373 consecutive patients with stable CAD from a single center. Serum levels of total PCS and IS were measured using an Ultra Performance LC System. Central obesity was evaluated using a body shape index (ABSI) and conicity index (CI). Six obesity-related proteins were also analyzed. Structural equation modeling (SEM) assessed direct and indirect effects of total PCS, IS, and the six obesity-related proteins on central obesity.

RESULTS

Significant positive correlations were found between total PCS and IS with waist-to-hip ratio (WHR) (r = 0.174, p = 0.005 for total PCS; r = 0.144, p = 0.021 for IS), CI (r = 0.273, p < 0.0001 for total PCS; r = 0.260, p < 0.0001 for IS), and ABSI (r = 0.297, p < 0.0001 for total PCS; r = 0.285, p < 0.0001 for IS) in male patients, but not in female patients. Multivariate analysis showed higher odds ratios (ORs) for elevated CI (OR = 3.18, 95% CI: 1.54-6.75, p = 0.002) and ABSI (OR = 3.28, 95% CI: 1.54-7.24, p = 0.002) in patients with high PCS levels, and elevated CI (OR = 2.30, 95% CI: 1.15-4.66, p = 0.018) and ABSI (OR = 2.22, 95% CI: 1.07-4.72, p = 0.033) in those with high IS levels, compared to those with low toxin levels. SEM analysis indicated that total PCS and IS directly impacted central obesity indices and indirectly influenced central adiposity measures like WHR through high sensitivity C-reactive protein (hs-CRP) (β = 0.252, p < 0.001).

CONCLUSIONS

Circulating total PCS and IS contribute to central obesity in male patients with stable CAD, partially mediated by hs-CRP.

Targeting microbiota to alleviate the harm caused by sleep deprivation

Sleep deprivation has become a common health hazard, affecting 37-58% of the population and promoting the occurrence and development of many diseases. To date, effective treatment strategies are still elusive. Accumulating evidence indicates that modulating the intestinal microbiota harbors significant potential for alleviating the deleterious impacts of sleep deprivation. This paper first reviews the effects of sleep deprivation on gastrointestinal diseases, metabolic diseases, and neuropsychiatric diseases, discussing its specific mechanisms of influence. We then focus on summarizing existing interventions, including probiotics, melatonin, prebiotics, diet, and fecal microbiota transplantation (FMT). Finally, we have discussed the advantages and limitations of each strategy. Compared with other strategies, probiotics showed a high potential in alleviating sleep deprivation-related hazards due to their reduced risk and high security. We suggest that future research should focus on the specific mechanisms by which probiotics mitigate the harms of sleep deprivation, such insights may unveil novel pathways for treating diseases exacerbated by insufficient sleep.

Causal Effects of Gut Microbiota on Sleep-Related Phenotypes: A Two-Sample Mendelian Randomization Study

Increasing evidence suggests a correlation between changes in the composition of gut microbiota and sleep-related phenotypes. However, it remains uncertain whether these associations indicate a causal relationship. The genome-wide association study summary statistics data of gut microbiota (n = 18,340) was downloaded from the MiBioGen consortium and the data of sleep-related phenotypes were derived from the UK Biobank, the Medical Research Council-Integrative Epidemiology Unit, Jones SE, the FinnGen consortium. To test and estimate the causal effect of gut microbiota on sleep traits, a two-sample Mendelian randomization (MR) approach using multiple methods was conducted. A series of sensitive analyses, such as horizontal pleiotropy analysis, heterogeneity test, MR Steiger directionality test and "leave-one-out" analysis as well as reverse MR analysis, were conducted to assess the robustness of MR results. The genus Anaerofilum has a negative causal effect on getting up in the morning (odd ratio = 0.977, 95% confidence interval: 0.965-0.988, p = 7.28 × 10-5). A higher abundance of order Enterobacteriales and family Enterobacteriaceae contributed to becoming an "evening person". Six and two taxa were causally associated with longer and shorter sleep duration, respectively. Specifically, two SCFA-produced genera including Lachnospiraceae UCG004 (odd ratio = 1.029, 95% confidence interval = 1.012-1.046, p = 6.11 × 10-4) and Odoribacter contribute to extending sleep duration. Two obesity-related genera such as Ruminococcus torques (odd ratio = 1.024, 95% confidence interval: 1.011-1.036, p = 1.74 × 10-4) and Senegalimassilia were found to be increased and decreased risk of snoring, respectively. In addition, we found two risk taxa of insomnia such as the order Selenomonadales and one of its classes called Negativicutes. All of the sensitive analysis and reverse MR analysis results indicated that our MR results were robust. Our study revealed the causal effect of gut microbiota on sleep and identified causal risk and protective taxa for chronotype, sleep duration, snoring and insomnia, which has the potential to provide new perspectives for future mechanistic and clinical investigations of microbiota-mediated sleep abnormal patterns and provide clues for developing potential microbiota-based intervention strategies for sleep-related conditions.

Habitual night sleep duration is associated with general obesity and visceral obesity among Chinese women, independent of sleep quality

Purpose

Research on the relationship between sleep duration and obesity defined using multiple anthropometric and bioelectrical indices in women remains scarce. We aimed to explore the association between sleep duration and body mass index (BMI), waist-hip ratio (WHR), body fat percentage (PBF) and visceral fat area (VFA) among females.

Methods

We recruited women for medical examination using multistage cluster sampling. Sleep was assessed using Pittsburgh Sleep Quality Index (PSQI) and sleep duration was categorized into short (<7 h), optimal (7 <9 h) and long sleep (≥ 9 h). Weight and height were measured using a calibrated stadiometer. Waist circumference was manually measured. PBF, and VFA were estimated by bioelectrical impedance analysis. Data on sociodemographic characteristics and lifestyle factors were also collected and included in the logistic regression models to explore the independent association between sleep duration and obesity defined by different indices.

Results

A total of 7,763 women with a mean age of 42.6 ± 13.5 years were included. The percentage of women reporting short and long sleep was 10.3 and 13.4% respectively. The mean BMI, WHR, PBF and VFA were 23.07 ± 3.30 kg/m², 0.78 ± 0.06, 32.23 ± 6.08% and 91.64 ± 35.97cm², respectively. Short sleep was independently associated with 35% (95% CI: 1.05-1.75) increased odds of general obesity (BMI ≥ 28 kg/cm²), and long sleep was associated with 18% (95% CI: 1.01-1.37) increased odds of visceral obesity (VFA > 100 cm²). No association was observed between sleep deprivation or excessive sleep and high WHR or high PBF.

Conclusion

In women, short sleep was associated with an increased odds of general obesity, whereas long sleep was associated with an increased odds of visceral obesity. Longitudinal observations are needed to confirm this cross-sectional relationship.

Association of sleep quality with lower urinary tract symptoms/benign prostatic hyperplasia among men in China: A cross-sectional study

Objective

As the population aged, voiding dysfunction has been steadily rising among males during the past decade. Increasing evidence showed that sleep disorders are associated with an increasing risk of various diseases, but the association between sleep disorders and lower urinary tract symptoms (LUTS)/benign prostatic hyperplasia (BPH) among Chinese males have not been well characterized.

Materials and methods

We conducted a cross-sectional analysis of data from West China Natural Population Cohort Study (WCNPCS) 2019-2021. Sleep quality was assessed by Pittsburgh sleep quality index (PSQI) in Chinese version. LUTS/BPH as a dependent variable of a binary variable, assessed by a self-reported questionnaire. Multivariate logistic regression analysis were performed to evaluate the correlation between sleep disorders and the risk of LUTS/BPH after adjusting for confounding factors.

Results

11,824 eligible Chinese men participated in this cross-sectional survey. In multivariate logistic regression analysis, after adjusting for confounding variables, global PSQI score (OR: 1.257, 1.119-1.411, p < 0.001) and its six compounds (Subjective sleep quality: OR: 1.376, 1.004-1.886, p = 0.048; Sleep latency: OR: 0.656, 0.557-0.773, p < 0.001; Sleep duration: OR: 1.441, 1.189-1.745, p < 0.001; Habitual sleep efficiency: OR: 1.369, 1.193-1.570, p < 0.001; Daytime dysfunction: OR: 1.702, 1.278-2.267, p < 0.001) except the use of sleep drug subgroup were significantly positively correlated with LUTS/BPH prevalence. Significant interaction effects were observed in age subgroups (age-young group: age < 51; age-middle group: 51 ≤ age ≤ 61; age-older group: age > 61) (P < 0.05). Among older participants, sleep disorders were more significantly associated with the risk of LUTS/BPH.

Conclusion

There was a significant association between poor sleep quality and increased prevalence of LUTS/BPH, especially among the elderly male population, suggesting an important role of healthy sleep in reducing prostate disease burden.

Association between sleep quality and urolithiasis among general population in Western China: a cross-sectional study

Background

Growing number of studies have evidently shown that sleep disorders are associated with the recently increased risk of various diseases in general human population. However, the relationship between sleep quality and urolithiasis condition in humans is still unclear. The present study explored the relationship between quality of sleep and urolithiasis in Chinese population of population, western China and hence investigated the effects of sleep quality on urolithiasis disease.

Methods

A cross-sectional analysis was performed using data from the West China Natural Population Cohort Study (WCNPCS). The data was collected between May 2019 and June 2021. This study evaluated the association between the sleep quality and urolithiasis. The sleep quality was assessed using the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) whereas urolithiasis, as the outcome was a binary variable. Multivariable logistic regression models that adjust the sociodemographic characteristics and health-related factors were used to assess the association between sleep quality and urolithiasis. Interaction was tested in prespecified subgroup of interest.

Results

After adjusting a series of confounding variables, the Pittsburgh Sleep Quality Index scores were found to have a significant positive correlation with the prevalence of urolithiasis (OR: 1.178; 95% CI = 1.083–1.282; p < 0.001). The risk of urolithiasis was significantly increased with an elevation of the component Pittsburgh Sleep Quality Index score in sleep latency, sleep duration, habitual sleep efficiency, and daytime dysfunction.

Conclusions

It was evident that there is an association between sleep quality and prevalence of renal stones in natural population in western China regions. Poor sleep quality is related to urolithiasis. The findings of the current study hence highlighted the need for future public health guidelines to develop detailed strategies for improving sleep quality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14187-5.