Association between sleep insufficiency and dyslipidemia: a cross-sectional study among Greek adults in the primary care setting

The Association Between Poor Sleep Quality and Lipid Levels Among Dyslipidemia Patients in Thailand: A Prospective Cross-Sectional Study

Background: Dyslipidemia increases cardiometabolic risk, but the impact of sleep quality on lipid levels remains uncertain. This study aims to assess the prevalence of poor sleep quality in patients with dyslipidemia and its association with lipid levels. Methods: A cross-sectional and prospective study was conducted among patients aged 20 years and older who were diagnosed with dyslipidemia at the Family Medicine Outpatient Clinic in Thailand from July to December 2023. Data were collected through interviews and a review of electronic health records. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Blood levels of triglycerides, HDL-C, and LDL-C were measured. The association between sleep quality and lipid levels was analyzed using multivariable regression, adjusting for age, sex, body mass index, diabetes mellitus, hypertension, alcohol use, exercise, statins, fibrates, and ezetimibe. Results: Of the 257 participants, 183 (71.21%) were female, with a mean age of 69.31 ± 7.48 years. Overall, 86 participants (33.64%) reported poor sleep quality. A higher sum score of PSQI was significantly associated with elevated triglyceride levels (adjusted mean difference [AMD] 2.59, 95% CI 0.07-5.11, p = 0.044), particularly in the sleep latency domain (AMD 8.58, 95% CI 0.00-17.16, p = 0.050). Additionally, higher scores in the subjective sleep quality domain were significantly associated with increased LDL-C levels (AMD 8.08, 95% CI 1.70-14.60, p = 0.013). Conclusions: This study highlights a significant association between poor sleep quality and elevated triglyceride and LDL-C levels. These findings underscore the importance of integrated healthcare strategies that address both sleep quality and lipid management to mitigate cardiovascular risks.

Poor sleep quality is associated with probable sarcopenia in community-dwelling older adults: Results from the longevity check-up (lookup) 8

BACKGROUND

Poor sleep quality may contribute to sarcopenia, but evidence remains sparse. This retrospective cross-sectional study investigated the association between subjective sleep quality and probable sarcopenia in a cohort of community-dwelling older adults enrolled in the Longevity Check-Up 8+ study.

METHODS

Participants were asked about their sleep quality over the past month, with four possible options ("very good", "quite good", "quite bad", very bad"). For the analysis, participants were grouped into good or bad sleep quality categories. Probable sarcopenia was operationalized according to handgrip strength values < 27 kg for men and < 16 kg for women. Logistic regression models were used to explore the relationship between sleep quality and probable sarcopenia.

RESULTS

1971 participants were included in the analysis (mean age 73.4 ± 6.2 years, 50.0 % women). Bad sleep quality was reported by 28.3 % of participants and was more prevalent among women, physically inactive individuals, and those with dyslipidemia. Probable sarcopenia was more prevalent in participants with bad sleep quality (23.8 % vs. 18.7 %, p = 0.012). Logistic regression revealed that bad sleep quality was significantly associated with increased odds of probable sarcopenia in both unadjusted (odds ratio [OR] 1.36, 95 % confidence interval [CI] 1.07-1.72, p = 0.010) and fully adjusted models (OR 1.40, 95 % CI 1.08-1.81, p = 0.011).

CONCLUSIONS

Poor sleep quality is associated with increased likelihood of probable sarcopenia in older adults. This finding highlights the importance of addressing sleep quality in interventions aimed at preventing sarcopenia and promoting healthy aging.

Association of Insomnia, Lipid Profile, and Lipid-Lowering Medications: A Narrative Review

Sleep is a fundamental phenomenon that helps maintain normal physiological processes. Conversely, sleep disorders, usually presented as insomnia, are a common public health problem that can lead to multiple pathophysiological changes in humans, including lipid metabolic abnormality. Interestingly, several previous studies have examined the potential relation of insomnia to metabolic syndrome and hyperlipidemia and found that insomnia was associated with elevated plasma cholesterol and triglyceride concentrations. This review summarizes evidence regarding the linkage between insomnia and lipid abnormalities. Moreover, the underlying physiologic mechanisms linking insomnia to lipid abnormalities are systemically discussed. Finally, issues with lipid-lowering drugs and the risk of insomnia are also presented. This knowledge can improve our understanding of the pathophysiological features of insomnia, which may help to prevent and treat insomnia-induced dyslipidemia clinically.

Predictive Models of Atherogenic Risk in Citizens of Trujillo (Peru) Based on Associated Factors

BACKGROUND/OBJECTIVES

Atherogenic risk is related to lipid metabolism imbalance and the likelihood of cardiovascular disease (CVD). The purpose of this study was to determine predictive models based on physiological parameters, family history, and lifestyle for atherogenic risk, assessed by indicators such as total cholesterol (TC)/HDL, triglycerides/HDL, LDL/HDL, and non-HDL cholesterol in citizens of the city of Trujillo (Peru).

METHODS

A total of 267 people, recruited from September to December 2023, participated in the study. Their lipid profile, glycaemia, abdominal perimeter, and blood pressure were determined, and questionnaires were applied with questions on diet, physical activity, alcohol consumption, smoking, hours of sleep, and family history. Binary logistic regression was considered to determine prediction models for each atherogenic risk indicator.

RESULTS

High values were found for all atherogenic indicators; dietary habits were poor in 86.1%; physical activity was low in 35.2%; hours of sleep were less than 7 h in 64.4%; and alcohol and tobacco consumption were low in 8.2% and 9%, respectively. The family history of CVD corresponded to the mother, father, grandmother, and grandfather in 53.2%, 44.9%, 30.3% and 25.1%, respectively. In addition to the inclusion of BMI in the predictive models of atherogenic risk, for the case of total cholesterol/HDL, the variable grandparental history and female sex were included; for TG/HDL, low physical activity, male sex, and alcohol consumption were associated; and for LDL/HDL and non-HDL cholesterol, female sex and age were associated.

CONCLUSION

The best prediction model for atherogenic risk is the corresponding model for TG/HDL, without ignoring the grandfather's history of CVD and age.

Assessment of Sleep Quality in Adolescents with Overweight and Obesity Using the Adolescent Sleep Hygiene Scale (ASHS)

BACKGROUND

Adolescent overweight and obesity are a public health problem with an epidemic trend. There is growing evidence that sleep quality correlates to body weight. The aim of this study was to investigate, sleep quality in adolescents with obesity/overweight.

METHODS

A total of 100 adolescents with overweight/obesity aged 12-18 years were enrolled. Anthropometric parameters were recorded and a laboratory investigation in the fasting state [glucose, insulin, cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), triglycerides, uric acid and glycated hemoglobin (HbA1c)] was performed. Insulin resistance was calculated by the Homeostasis Model Assessment of Insulin Resistance index (HOMA-IR). Sleep quality was assessed with the Adolescent Sleep Hygiene Scale (ASHS) questionnaire.

RESULTS

According to ASHS, 93% of the participants were classified as "Good Sleepers" (GSs) (score > 3.8) and 7% as "Poor Sleepers" (PSs) (score < 3.8). PSs had a statistically higher body mass index (BMI) compared to GSs (p = 0.026). Increased body mass index (BMI) (r = -0.306, p = 0.002), fast insulin (r = -0.224, p = 0.027), and HOMA-IR (r = -0.260, p = 0.010) exerted a negative effect on sleep quality. Controlling for lipids and uric acid, only TC levels appeared to have a statistically significant and specifically positive correlation with the ASHS score (r = 0.202, p = 0.045). HbA1c values and waist circumference tended to be negatively correlated, but not significant to adolescent sleep quality [(r = -0.101, p = 0.330), (r = -0.095, p = 0.359), respectively]. The influence of central obesity on the ASHS score was also explored, but no correlation was found (p = 0.566).

CONCLUSIONS

Sleep quality, as reflected by the ASHS score, was associated negatively with BMI, fasting insulin levels, and insulin resistance. Furthermore, a gender difference was observed, as adolescent males were found to achieve a higher overall ASHS score compared to females.

Exploring age and gender disparities in cardiometabolic phenotypes and lipidomic signatures among Chinese adults: a nationwide cohort study

Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China. Substantial sex disparities in the prevalence of metabolic diseases were observed across different age strata, particularly for dyslipidemia and its components. Generalized additive models were employed to characterize phenotype features, elucidating how gender differences evolve with advancing age. Half of the 16 phenotypes consistently exhibited no sex differences, while four (high-density lipoprotein [HDL] cholesterol, apolipoprotein A1, diastolic blood pressure, and fasting insulin) displayed significant sex differences across all age groups. Triglycerides, apolipoprotein B, non-HDL cholesterol, and total cholesterol demonstrated significant age-dependent sex disparities. Notably, premenopausal females exhibited significant age-related differences in lipid levels around the age of 40-50 years, contrasting with the relatively stable associations observed in males and postmenopausal females. Menopause played an important but not sole role in age-related sex differences in blood lipids. Sleep duration also had an age- and sex-dependent impact on lipids. Lipidomic analysis and K-means clustering further revealed that 58.6% of the 263 measured lipids varied with sex and age, with sphingomyelins, cholesteryl esters, and triacylglycerols being the most profoundly influenced lipid species by the combined effects of age, sex, and their interaction. These findings underscore the importance of age consideration when addressing gender disparities in metabolic diseases and advocate for personalized, age-specific prevention and management.

Increased risk of sleep disturbances in patients with rosacea: A nationwide population-based cohort study

Rosacea is a chronic inflammatory skin disorder linked to various mental disorders, but little is known about the impact of rosacea on sleep disorders. The aim of this study is to confirm the association of rosacea with sleep disorders using a large administrative data set. This nationwide population-based retrospective cohort study enrolled 1129 individuals with rosacea and 11 017 age- and sex-matched controls without rosacea from the Korean National Health Insurance System database from 2002 to 2015. The prevalence of sleep disorder (7.8%) was significantly higher in patients with rosacea than in controls (5.81%; p < 0.001). Rosacea was associated with an increased risk of sleep disorder (adjusted odds ratio [aOR], 1.287 [95% confidence interval (CI), 1.022-1.623]). Among a variety of sleep disorders, patients with rosacea were likely to have an increased risk of insomnia (aOR, 1.318 [95% CI, 1.002-1.743]). In subgroup analysis, female patients with rosacea (aOR, 1.297 [95% CI, 1.010-1.722]) and those with rosacea and dyslipidemia (aOR, 1.417 [95% CI, 1.062-1.891]) were at a higher risk of having a sleep disorder. Rosacea is associated with an increased risk of having sleep disorders. The management of modifiable risk factors is important for managing sleep disorders in patients with rosacea.

Genetic study of the causal effect of lipid profiles on insomnia risk: a Mendelian randomization trial

OBJECTIVES

In response to the controversy surrounding observational studies of the association between lipid profiles and the risk of insomnia, the aim of this study was to analyze lipid profiles, including triglycerides (TG), apolipoprotein A-1 (ApoA-1), apolipoprotein B (ApoB) and lipoprotein A (LPA), in a European population to further assess the causal relationship between these lipid types and insomnia.

MATERIALS AND METHODS

This study explores the causal effect of lipid profiles on insomnia based on a genome-wide association study (GWAS)-derived public dataset using two-sample and multivariate Mendelian randomization (MVMR) analysis. The main MR analyses used inverse variance weighting (IVW) odds ratio (OR), and the sensitivity analyses included weighted median (WM) and MR‒Egger.

RESULTS

Both MR and MVMR showed that lowering ApoA-1 and LPA levels had causal effects on the risk of insomnia [MR: per 10 units, ApoA-1: OR: 0.7546, 95% CI: 0.6075-0.9372, P = 0.011; LPA: OR: 0.8392, 95% CI: 0.7202-0.9778, P = 0.025; MVMR: per 10 units, ApoA-1: OR: 0.7600, 95% CI: 0.6362-0.9079, P = 0.002; LPA, OR: 0.903, 95% CI: 0.8283-0.9845, P = 0.021]. There were no causal effects of TG or ApoB on insomnia (all P > 0.05). The MR‒Egger intercept test, funnel plot, and IVW methods all suggested an absence of strong directional pleiotropy, and leave-one-out permutation analysis did not detect any single single-nucleotide polymorphism that had a strong influence on the results.

CONCLUSION

Elevated levels of ApoA-1 and LPA were independently and causally associated with the risk of insomnia, suggesting that elevated ApoA-1 and LPA levels may contribute to a reduced risk of insomnia.

Health-related factors and dysregulation of epigenetic related genes in metabolic syndrome trigger finger patients and smoker trigger finger patients: preliminary analysis of patient-derived sample

PURPOSE

To investigate the health-related factors and analyze the expression of epigenetic related genes and inflammatory genes in metabolic syndrome Trigger Finger (TF) and smoker TF.

METHODS

Samples from patients' fingers with symptomatic TF were collected. There were seven groups: healthy control group, carpal tunnel syndrome (as a control for gene expression analysis), TF, diabetic TF, hypertensive TF, dyslipidemic TF and smoker TF. The expression levels of epigenetic related genes and inflammatory genes in metabolic syndrome TF and smoker TF were evaluated by the reverse transcription-polymerase chain reaction (RT-PCR) technique. The Perceived Stress Scale (PSS), Pittsburgh Sleep Quality Index (PSQI) questionnaires, disability of the arm, shoulder and hand (DASH) and numeric pain rating scale were given to the participants to fill out.

RESULTS

There was a significant increase in hand dysfunction in the metabolic TF groups and smoker group compared to the TF group (p < 0.0001). The stress levels of the smoker TF group and TF with hypertension group were significantly increased compared with those in the TF group (p < 0.03) and (p < 0.021), respectively. On the other hand, there was a significant increase in the COL-I, COL-II and TNF-α gene expression of the metabolic TF groups and smoker group (p < 0.0001).

CONCLUSIONS

Health-related factors in the TF tendons was highly associated with the level of inflammation and genetic alteration in TF metabolic syndromes and smoker TF patients. Therefore, further investigation is required to examine the combination of occupational therapy, gene expression, and health-related factors as a promising method of managing TF.

Association between weekend catch-up sleep and dyslipidemia among Korean workers

Within competitive sociocultural environments, most Korean workers are likely to shorten their sleep duration during the weekday. Short sleep duration is associated with dyslipidemia; however, studies on the correlation between various sleep patterns and dyslipidemia are still lacking. In hence this study aimed to investigate the association between weekend catch-up sleep (CUS) and dyslipidemia among South Korean workers. Our study used data from the 8th Korea National Health and Nutrition Examination Survey (KNHANES). The analysis covered 4,085 participants, excluding those who were diagnosed with dyslipidemia and not currently participating in economic activities. Weekend CUS was calculated as the absolute difference between self-reported weekday and weekend sleep duration. Dyslipidemia was diagnosed based on the levels of total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides in blood samples collected after 9-12 h of fasting. After adjusting for sociodemographic, economic, health-related, and sleep-related factors, a negative association of weekend CUS with dyslipidemia was observed in male workers (odds ratio: 0.76, 95% confidence interval: 0.61-0.95). Further, workers with total sleep duration of 7-8 h, night workers, and white-collar workers with CUS were at relatively low risk of dyslipidemia compared to the non-CUS group. Less than 2 h of weekend CUS was negatively related to dyslipidemia in Korean workers, especially males. This suggests that sleeping more on weekends for workers who had a lack of sleep during the week can help prevent dyslipidemia.

Nutritional Elements in Sleep

Sleep comprises one-third of our day and plays an integral role in human health and well-being. Many factors influence sleep, with nutrition being a key element that impacts various sleep parameters. Meal-timing through strategies like chrono-nutrition leads to positive sleep outcomes. In addition, consuming a high-protein diet with essential amino acids, low-glycemic-index foods, and certain fruits rich in antioxidants can all contribute to better sleep quality. Other facets of nutrition that can affect sleep outcomes include weight loss and limiting certain nutritional elements such as caffeine, nicotine, and alcohol. In this article, we will shed some light on how some of these factors can play a vital role in sleep quality.

Exploring the association between sleep insufficiency and self-reported cardiovascular disease among northeastern Greeks

Objective

To explore the association of sleep characteristics with cardiovascular disease (CVD) using self-reported questionnaires.

Material and Methods

957 adults between 19 and 86 years old were enrolled in this cross-sectional study. The participants were classified into three groups [short (<6h), normal (6-8h), and long (>8h) sleepers] by using multistage stratified cluster sampling. CVD was defined by a positive response to the questions: "Have you been told by a doctor that you have had a heart attack or angina or stroke or have you undergone bypass surgery?". Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined.

Results

Prevalence of CVD was 9.5%. Individuals with CVD exhibited reduced sleep duration by 33 min (p<0.001) and sleep efficiency by 10% (p<0.001). In multivariable logistic regression analysis, adjusting for subjects' sociodemographic, lifestyle habits and health related characteristics, short sleep duration was almost three times more frequent in patients with CVD (aOR=2.86, p<0.001 in the entire sample; aOR=2.68, p=0.019 in women and aOR=2.57, p=0.009 in men). Furthermore, CVD was significantly associated with excessive daytime sleepiness (aOR=2.02, p=0.026), insomnia (aOR=1.93, p=0.010), poor sleep quality (aOR=1.90, p=0.006) and increased risk of obstructive sleep apnea (aOR=2.08, p=0.003).

Conclusion

Our study highlights a strong correlation of sleep insufficiency with CVD and promotes early pharmacological or cognitive behavioral interventions in order to protect cardiovascular health.