Sleep disturbances: one of the culprits of obesity-related cardiovascular risk?

Weight-adjusted-waist index is associated with increased risk of sleep disturbances in the U.S. adult population: an analysis of NHANES 2007-2012

OBJECTIVE

The weight-adjusted-waist index (WWI) is a novel measure of central adiposity, potentially linked to various sleep disturbances. This study explores the relationship between WWI and sleep outcomes, such as trouble sleeping, sleep disorder, and sleep duration.

METHODS

Data from the National Health and Nutrition Examination Survey 2007-2012 were analyzed, including 13,494 participants. The analysis focused on individuals aged 20 years and older who provided information on WWI and sleep. Sleep status was determined based on responses to the following questions: (1) "How many hours do you sleep?"; (2) if they reported trouble sleeping; and (3) if they had physician-diagnosed sleep disorders. Regression models assessed the association between WWI and sleep outcomes across the entire population and within subgroups. Restricted cubic spline (RCS) analysis was conducted to examine potential non-linear relationships between WWI and sleep outcomes.

RESULTS

A higher WWI was significantly correlated with an increased likelihood of trouble sleeping (OR = 1.26, 95% CI: 1.16, 1.36; p < 0.001) and sleep disorder (OR = 1.71, 95% CI: 1.50, 1.95; p < 0.001) in the overall population. RCS analysis indicated a linear relationship between WWI and these sleep outcomes. Subgroup analysis identified that the connection between WWI and trouble sleeping was most pronounced among Non-Hispanic Blacks and individuals with lower educational levels. For sleep disorder, the association was stronger in males and Non-Hispanic Blacks. A slight negative association between WWI and sleep duration was found, especially among non-drinkers (β = - 0.13, 95% CI: - 0.24, - 0.02; p = 0.028).

CONCLUSION

The findings highlight a significant and linear relationship between elevated WWI and an increased likelihood of experiencing trouble sleeping and sleep disorder, with variations observed across different demographic and lifestyle subgroups. These results imply that central adiposity, as measured by WWI, plays an important role in sleep health.

LEVEL OF EVIDENCE

Level III: Evidence obtained from well-designed cohort or case-control analytic studies.

Protective Role of TRPC3 Gene Polymorphism (rs10518289) in Obstructive Sleep Apnea Hypopnea Syndrome Among Hypertensive Patients

BACKGROUND Obstructive sleep apnea-hypopnea syndrome (OSAHS) presents a significant health concern, particularly among individuals with essential hypertension (EH). Understanding the genetic underpinnings of this association is crucial for effective management and intervention. We investigated the relationship between TRPC3 gene polymorphisms and susceptibility to OSAHS in patients with EH. MATERIAL AND METHODS We enrolled 373 patients with EH hospitalized at the First Affiliated Hospital of Xinjiang Medical University between April 2015 and November 2017. Patients were categorized into EH (n=74) and EH+OSAHS (n=299) groups according to the apnea-hypopnea index. Sequenom detection technology was used for TRPC3 gene single-nucleotide polymorphism genotyping, including genotypes at rs953691, rs10518289, rs2292232, rs4995894, rs951974, and rs4292355. RESULTS Sex, smoking history, alcohol history, hypertension duration, fasting blood glucose, urea, creatinine, total cholesterol, HDL-C, LDL-C, glycosylated hemoglobin, 24-h mean systolic BP, and 24-h mean diastolic BP were not significantly different between the 2 groups (P>0.05); however, age, BMI, triglyceride levels differed significantly (P<0.05). No significant difference was detected in distribution frequency of polymorphisms of TRPC3 gene between the 2 groups (P>0.05), while genotype, dominant genotype, and recessive genotype at rs10518289 and alleles at rs4292355 differed significantly (P<0.05). Logistic regression analysis showed age, BMI, and CG+GG genotypes at rs10518289 were risk factors for OSAHS in patients with EH. Interaction between TRPC3 (rs10518289) and obesity was not a risk of OSAHS with EH (P>0.05). CONCLUSIONS CC genotype of rs10518289 in the TRPC3 gene could be a protective genetic marker of OSAHS, and CG+GG genotype may be a risk genetic marker of OSAHS with EH.

Screen time in the development of cardiovascular diseases: A two-sample Mendelian randomization study

BACKGROUND AND AIMS

Coronary artery disease (CAD), heart failure (HF), and ischemic heart disease (IHD) are three common cardiovascular diseases that are closely associated with metabolic activity. The global incidence and prevalence of these conditions are on the rise, primarily due to unhealthy lifestyles, aging populations, and the increasing prevalence of obesity and diabetes. Excessive screen time has emerged as a potential risk factor for various adverse health outcomes, although limited research has explored its relationship with cardiovascular disease outcomes.

METHODS AND RESULTS

A Mendelian randomization (MR) study was conducted, employing exposure-associated genetic variants as instrumental variables to explore the causal relationship between screen time use and cardiovascular disease outcomes. Single nucleotide polymorphisms (SNPs) were utilized as pooled data for the genetic variable instrument, investigating the association between screen use duration and three types of cardiovascular diseases: coronary artery disease (CAD), heart failure (HF), and ischemic heart disease (IHD). Through the MR analysis, it was revealed that the use of mobile phones and TV screens exhibited a significant causal association with the occurrence of CAD, heart failure, and IHD. However, no significant association was observed between the use of computers and these three types of cardiovascular diseases.

CONCLUSION

Our study suggests that excessive screen time use is associated with the development of cardiovascular disease. However, it should be noted that the consequences of screen time can vary depending on the reasons and purposes for its use. Implementing reasonable control over screen time, particularly for entertainment purposes, holds promise as a potential approach to mitigating cardiovascular disease.

Beat the Clock: Assessment of Night Eating Syndrome and Circadian Rhythm in a Sample of Greek Adults

The night eating syndrome (NES) is characterized by excessive food intake during the evening and night hours, with 25% of the daily intake being consumed post-dinner, paired with ep-isodes of nocturnal food intake, at a frequency of more than twice weekly. The NES has been associated with a misaligned circadian rhythm related to a delay in overall food intake, increased energy and fat consumption. The present cross-sectional study aimed to assess NES in a Greek population and evaluate possible links between NES and chronotype. NES was assessed using the Night Eating Questionnaire (NEQ), and circadian rhythm, sleep and mood were evaluated with the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire. A total of 533 adults participated in the study. A relatively high prevalence of NES was revealed, with more than 8.1% (NEQ ≥ 30) of the participants reporting experiencing NES symptoms, depending on the NEQ threshold used. Most participants had the intermediate chronotype. NEQ score was positively associated with the morning chronotype, and SCRAM was negatively related to "Good Sleep". Each point increment in the depression score was associated with 6% higher odds of NES. The early identification of NES gains importance in clinical practice, in a collective effort aiming to reduce NES symptomatology and its detrimental health effects.

Adherence to the Mediterranean diet as a possible additional tool to be used for screening the metabolically unhealthy obesity (MUO) phenotype

BACKGROUND

The terms metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) categorize subjects with obesity based on the presence or absence of cardio-metabolic risk factors. Detecting MUO phenotype is crucial due to the high risk of cardio-metabolic complications, requiring tailored and intensive follow-up. However, diagnosing MUO is time-consuming and costly. Thus, we aimed to investigate the role of Mediterranean diet (MD) in determining MHO/MUO phenotypes and whether adherence to MD could serve as an additional screening tool for MUO phenotype.

METHODS

The study population of this cross-sectional observational study consisted of 275 subjects with obesity. We assessed their lifestyle habits (physical activity and smoking habits), anthropometric measurements (weight, height, waist circumference, body mass index), blood pressure, metabolic parameters, inflammatory marker (high sensitivity C reactive protein levels), adherence to MD (by PREvención con DIetaMEDiterránea (PREDIMED) questionnaire), and MHO/MUO phenotypes.

RESULTS

The study included 275 individuals with obesity (256F/19M; 34.0 ± 10.5 years; BMI 38.3 ± 5.95 kg/m2). Among them, 114 (41.5%) exhibited MHO phenotype, while 161 (58.5%) had MUO phenotype. MHO phenotype exhibited favorable anthropometric and cardio-metabolic profiles, characterized by lower waist circumference (p < 0.001), BMI (p < 0.001), insulin resistance (p < 0.001), blood pressure (p < 0.001), inflammation (p < 0.001), and lipid levels (p < 0.001) compared to MUO phenotype. Notably, we found that MHO phenotype had higher adherence to MD (p < 0.001) and consumed more extra virgin olive oil (EVOO) (p < 0.001), vegetables (p < 0.001), fruits (p < 0.001), legumes (p = 0.001), fish (p < 0.001), wine (p = 0.008), and nuts (p = 0.001), while reporting lower intake of red/processed meats (p < 0.001), butter, cream, margarine (p = 0.008), soda drinks (p = 0.006), and commercial sweets (p = 0.002) compared to MUO phenotype. Adherence to MD (p < 0.001) and EVOO (p = 0.015) intake were identified as influential factors in determining the presence of MUO/MHO phenotypes. Furthermore, a PREDIMED score < 5 proved to be the most sensitive and specific cut-point value for predicting the presence of MUO phenotype (p < 0.001).

CONCLUSION

High adherence to MD was associated with MHO phenotype. Moreover, we suggest that a specific cut-off of the PREDIMED score could be an indicator to discriminate patients with MUO/MHO phenotypes and therefore help in identifying patients at higher cardiovascular risk who will require specific dietary intervention.

A machine learning approach to personalized predictors of dyslipidemia: a cohort study

Introduction

Mexico ranks second in the global prevalence of obesity in the adult population, which increases the probability of developing dyslipidemia. Dyslipidemia is closely related to cardiovascular diseases, which are the leading cause of death in the country. Therefore, developing tools that facilitate the prediction of dyslipidemias is essential for prevention and early treatment.

Methods

In this study, we utilized a dataset from a Mexico City cohort consisting of 2,621 participants, men and women aged between 20 and 50 years, with and without some type of dyslipidemia. Our primary objective was to identify potential factors associated with different types of dyslipidemia in both men and women. Machine learning algorithms were employed to achieve this goal. To facilitate feature selection, we applied the Variable Importance Measures (VIM) of Random Forest (RF), XGBoost, and Gradient Boosting Machine (GBM). Additionally, to address class imbalance, we employed Synthetic Minority Over-sampling Technique (SMOTE) for dataset resampling. The dataset encompassed anthropometric measurements, biochemical tests, dietary intake, family health history, and other health parameters, including smoking habits, alcohol consumption, quality of sleep, and physical activity.

Results

Our results revealed that the VIM algorithm of RF yielded the most optimal subset of attributes, closely followed by GBM, achieving a balanced accuracy of up to 80%. The selection of the best subset of attributes was based on the comparative performance of classifiers, evaluated through balanced accuracy, sensitivity, and specificity metrics.

Discussion

The top five features contributing to an increased risk of various types of dyslipidemia were identified through the machine learning technique. These features include body mass index, elevated uric acid levels, age, sleep disorders, and anxiety. The findings of this study shed light on significant factors that play a role in dyslipidemia development, aiding in the early identification, prevention, and treatment of this condition.

Sleep Quality, Metabolic Function, Physical Activity, and Neurocognition Among Individuals with Resistant Hypertension

BACKGROUND

Resistant hypertension (RH) is a major risk factor for stroke, cognitive decline, and dementia. Sleep quality is increasingly suggested to play an important role linking RH to cognitive outcomes, although the mechanisms linking sleep quality to poor cognitive function have yet to be fully delineated.

OBJECTIVE

To delineate biobehavioral mechanisms linking sleep quality, metabolic function, and cognitive function among 140 overweight/obese adults with RH in the TRIUMPH clinical trial.

METHODS

Sleep quality was indexed using actigraphy measures of sleep quality and sleep fragmentation, as well as self-reported sleep quality from the Pittsburgh Sleep Quality Index (PSQI). Cognitive function was assessed using a 45-minute battery assessing executive function, processing speed, and memory. Participants were randomized to a cardiac rehabilitation-based lifestyle program (C-LIFE) or a standardized education and physician advice condition (SEPA) for 4 months.

RESULTS

Better sleep quality at baseline was associated with better executive function (B = 0.18 p = 0.027), as well as greater fitness (B = 0.27, p = 0.007) and lower HBA1c (B = -0.25, p = 0.010). Cross-sectional analyses revealed that the sleep quality executive function association was mediated by HBA1c (B = 0.71 [0.05, 2.05]). C-LIFE improved sleep quality (-1.1 [-1.5, -0.6] versus+-0.1 [-0.8, 0.7]) and actigraphy steps (+922 [529, 1316] versus+56 [-548, 661]), with actigraphy mediating improvements in executive function (B = 0.40 [0.02, 1.07]).

CONCLUSION

Better metabolic function and improved physical activity patterns levels play important roles linking sleep quality and executive function in RH.

Vitamin D and chronotype: is there any relationship in individuals with obesity?

PURPOSE

Chronotype is the attitude to perform most of the daily activities in the morning ("morning chronotype", MC) or in the evening ("evening chronotype", EC). The latter, as well as vitamin D deficiency, has been associated with an increased risk of obesity-related complications, likely through the promotion of insulin resistance. Therefore, we aimed to investigate whether there is any relationship between vitamin D (25-OH-D) and chronotype in individuals with obesity.

METHODS

In this cross-sectional study, we enrolled 59 individuals (43.1 ± 13 years; 17M/42F) with obesity. Anthropometric parameters, lifestyle habits, personal medical history, chronotype, insulin resistance, and 25-OH-D were assessed.

RESULTS

Individuals with EC presented significantly higher BMI than MC (p < 0.001), greater waist (p = 0.012), and hip circumferences (p = 0.001). Individuals with EC showed significantly lower insulin sensitivity (p = 0.017) and 25-OH-D than MC. In addition, the prevalence of vitamin D deficiency and impaired fasting glucose was significantly higher in EC than in MC. 25-OH-D directly correlated with chronotype score (r = 0.351; p = 0.019) whereas inversely with BMI (r = - 0.363; p = 0.016). The regression analysis showed that BMI was most tightly associated with 25-OH-D concentrations (β = - 0.323, p = 0.032), followed by chronotype score (β = 0.340, p = 0.042). Using chronotype score as the dependent variable, BMI significantly predicted a lower chronotype score (β = - 0.586, p < 0.001).

CONCLUSION

The present study showed that 25-OH-D, as well as chronotype, correlate independently with obesity.

Evening chronotype is associated with hormonal and metabolic disorders in polycystic ovary syndrome

Despite current treatments for polycystic ovary syndrome (PCOS), a considerable number of women with this syndrome do not reach the treatment goal, suggesting the presence of other probable misdiagnosed features of this syndrome that are not taken into account in the assessment and therefore in the therapeutical approach. The aim of this study was to investigate the prevalence of chronotype categories in women with PCOS and their role in determining hormonal and metabolic aspects of PCOS. This observational case-control study was conducted on 112 women with PCOS and 112 healthy women matched for age and body mass index (BMI). At baseline anthropometric parameters such as weight, height, BMI and waist circumference, clinical parameters such as Ferriman-Gallwey (FG) score, biochemical parameters such as fasting plasma glucose, insulin levels and assessment of the homeostasis model of insulin resistance (HoMA-IR), inflammatory parameters such as C-reactive protein (CRP) and hormonal parameters such as testosterone levels were evaluated. Women with PCOS had a lower chronotype score (p < .001) which indicates a higher prevalence of evening chronotype (EC) category (p = .037) compared to controls. After adjustment for BMI, chronotype score was significantly negatively correlated with CRP levels (r = -0.418, p < .001), testosterone levels (r = -0.543, p < .001) and FG score (r = -0.514, p < .001). Linear regression analysis showed that high testosterone levels were among the factors most associated with a lower chronotype score (p < .001), followed by BMI (p < .001) and HoMA-IR (p < .05). In conclusion, there is a higher prevalence of EC in women with PCOS than in women without the condition, which in turn was associated with a worse hormonal and metabolic profile. These findings provide support for the relevance of including chronotype assessment in the treatment of women with PCOS.

Dynamics of Gut Microbiota and Clinical Variables after Ketogenic and Mediterranean Diets in Drug-Naïve Patients with Type 2 Diabetes Mellitus and Obesity

Type 2 diabetes mellitus (T2DM), the most common form of diabetes, is a progressive chronic metabolic disease that has increasingly spread worldwide, enhancing the mortality rate, particularly from cardiovascular diseases (CVD). Lifestyle improvement through diet and physical activity is, together with drug treatment, the cornerstone of T2DM management. The Mediterranean diet (MD), which favors a prevalence of unprocessed vegetable foods and a reduction in red meats and industrial foods, without excluding any food category, is usually recommended. Recently, scientific societies have promoted a very low-calorie ketogenic diet (VLCKD), a multiphasic protocol that limits carbohydrates and then gradually re-introduces them, with a favorable outcome on body weight and metabolic parameters. Indeed, gut microbiota (GM) modifications have been linked to overweight/obesity and metabolic alterations typical of T2DM. Diet is known to affect GM largely, but only a few studies have investigated the effects of VLCKD on GM, especially in T2DM. In this study, we have compared anthropometric, biochemical, lifestyle parameters, the quality of life, and the GM of eleven patients with recently diagnosed T2DM and overweight or obesity, randomly assigned to two groups of six and five patients who followed the VLCKD (KETO) or hypocaloric MD (MEDI) respectively; parameters were recorded at baseline (T0) and after two (T2) and three months (T3). The results showed that VLCKD had more significant beneficial effects than MD on anthropometric parameters, while biochemical improvements did not statistically differ. As for the GM, despite the lack of significant results regarding the alpha and beta diversity, and the Firmicutes/Bacteroidota ratio between the two groups, in the KETO group, a significant increase in beneficial microbial taxa such as Verrucomicrobiota phylum with its members Verrucomicrobiae, Verrucomicrobiales, Akkermansiaceae, and Akkermansia, Christensenellaceae family, Eubacterium spp., and a reduction in microbial taxa previously associated with obesity (Firmicutes and Actinobacteriota) or other diseases (Alistipes) was observed both at T2 and T3. With regards to the MEDI group, variations were limited to a significant increase in Actinobacteroidota phylum at T2 and T3 and Firmicutes phylum at T3. Moreover, a metagenomic alteration linked to some metabolic pathways was found exclusively in the KETO group. In conclusion, both dietary approaches allowed patients to improve their state of health, but VLCKD has shown better results on body composition as well as on GM profile.

Evening chronotype is associated with severe NAFLD in obesity

BACKGROUND/OBJECTIVES

Chronotype, i.e., the individual attitude to carry out the daily activities at a certain time of the day, has been reported to play a role in metabolic diseases. Thus, the aim of our study was to investigate the association of non-alcoholic fatty liver disease (NAFLD) with chronotype categories in individuals with obesity.

SUBJECTS/METHODS

In this cross-sectional study, participants underwent to anthropometric, biochemical, and the Visceral Adiposity Index (VAI) assessment. Chronotype categories were assessed by the Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ). The following indirect indices of NAFLD were calculated: Liver Fat Equation (LFE), Hepatic Steatosis Index (HSI) and Index of Non-alcoholic steatohepatitis (ION).

RESULTS

The study population consisted of 87 participants (40.3 ± 12.3 years; BMI 45.6 ± 6.3 kg/m²; 64F/23M). According to the chronotype score, 31.0% were morning (MC), 36.8% were intermediate (IC), and 32.2% evening chronotype (EC). Individuals with IC were significantly younger than those with MC and EC (p = 0.002 and p = 0.047, respectively). EC presented significantly higher BMI (p < 0.001), waist circumference (p = 0.007), and hip circumference (p = 0.001) than MC. Moreover, EC had higher BMI (p < 0.001) and waist circumference (p = 0.011) than IC. All participants presented NAFLD (HSI ≥ 36 and LFE ≥ 5). Nevertheless, only individuals with EC were above the threshold of non-alcoholic steatohepatitis evaluated as ION index (ION ≥ 50). Individuals with EC presented significantly higher VAI (p = 0.036), LFE (p = 0.034), HSI (p < 0.001) and ION (p = 0.014) than MC, also after the adjustment for age, gender, and BMI.

CONCLUSION

EC is associated with more severe NAFLD independently of age, gender, and BMI than MC and IC in individuals with obesity.

Technology and Sleep Quality: Friend or Foe? Let the Exergames Come into Play!

Low sleep quality is associated with many health problems. Although physical exercise is a nonpharmacological tool that positively impacts sleep quality, there are many barriers (lack of energy, lack of motivation, lack of skills, lack of resources, and fear of injury) for people to adopt an active lifestyle. Exergames are an alternative way of physical exercise that are funnier and more attractive than traditional forms of physical exercise and, therefore, has the potential to increase adherence to a physical exercise program. Given that previous studies showed that exergames presents similar physiological and psychological outcomes to traditional forms of exercise, we aimed to discuss in this narrative review potentials applications, limitations and perspectives of using exergames to improve sleep quality.

A practical nutritional guideline to manage neuroendocrine neoplasms through chronotype and sleep

Chronotype is the attitude of subjects to carry out their daily activities mainly in the morning ("lark") or in the evening ("owl"). The intermediate chronotype is located between these two categories. It has been demonstrated that chronotype can influence the incidence, course and response to treatments of tumors. In particular patients diagnosed with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) and evening chronotype are characterized by unhealthy lifestyle, obesity, metabolic syndrome, a worsen cardiometabolic profile, a poor prognosis with a progressive disease and the development of metastasis. In addition, evening chronotype has been associated with sleep disturbances, which in turn have been related to tumor development and progression of tumors. There is a strict connection between sleep disturbances and NENs because of the hyperactivation of proangiogenic factors that caused aberrant neoangiogenesis. A nutritional tailored approach could represent a tool to align subjects with evening chronotype to physiological biological rhythms based on the properties of some macro and micronutrients of being substrate for melatonin synthesis. Thus, we aimed to provide an overview on the association of chronotype categories and sleep disturbances with NENs and to provide nutritional advices to manage subjects with NENs and these disturbances of circadian rhythm.

The Importance of Being a 'Lark' in Post-Menopausal Women with Obesity: A Ploy to Prevent Type 2 Diabetes Mellitus?

Chronotype is defined as the behavioral manifestation of circadian rhythms related to the external light–dark cycle. Evening chronotype has been associated with an increased risk of developing cardiometabolic diseases in obesity. Menopause is a lifestage associated with an increased risk of developing cardiometabolic diseases and a change in circadian rhythmicity compared to pre-menopause. However, the prevalence of chronotype categories in menopause and their role in determining menopause-related cardiometabolic risk, mostly in obesity, have not been investigated. Thus, we aimed to investigate the prevalence of chronotype categories in post-menopausal women with obesity and their role in menopause-related cardiometabolic risk. In this cross-sectional study we enrolled 49 pre-menopausal and 74 post-menopausal women with obesity. Anthropometric parameters, lifestyle habits, adherence to the Mediterranean Diet (MD), sleep quality, chronotype and the presence of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD) were studied. No significance differences were detected in terms of lifestyle and adherence to the MD between pre- and post-menopausal women. Chronotype was classified as morning in 66 (53.6%), evening in 20 (16.3%) and intermediate in 37 (30.1%) women. In addition, pre-menopausal women with obesity showed a significantly higher chance to have an intermediate chronotype (OR = 2.21, 95% CI 1.28–3.83; p = 0.004), whereas post-menopausal women with obesity showed a trend to have a higher morning chronotype (OR = 1.42, 95% CI 0.98–2.06; p = 0.051), although this did not reach statistical significance. No significant differences were detected in terms of prevalence of evening chronotype between the two groups. However, the evening chronotype had a significantly higher risk to have T2DM compared to the morning (OR = 17.29, 95% CI 2.40–124.27; p = 0.005) and intermediate chronotypes (OR = 30.86, 95% CI 2.05–464.32; p = 0.013) in both pre- and post-menopausal women with obesity. In conclusion, the intermediate chronotype was significantly more prevalent in pre-menopausal women with obesity compared to post-menopausal women. Evening chronotype was associated to T2DM in both pre- and post-menopause. These results support the importance of including the assessment of chronotype in the management of women with obesity in post-menopause.

Craniopharyngioma, Chronotypes and Metabolic Risk Profile

Aim: To investigate the potential association among Craniopharyngioma (CP), chronotypes and metabolic risk profile. Subjects and Methods: The study population included 28 patients (46.4% males; 42.6 ± 15.8 years) and 28 controls, age, gender and BMI matched (46.4% males; 46.5 ± 12.9 years). In this study sample, we evaluated: anthropometric measurements (waist circumference, WC; BMI), plasma glucose, lipid profile, and systolic (SBP) and diastolic (DBP) blood pressure. Morningness-Eveningness was measured with the Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ), which included 19 questions about preferred sleep time and daily performance. Results: in both patients and controls grade I obesity was detected in 15 subjects (53.6%), grade II obesity in 13 subjects (46.4%). In the patient group, the mean score of chronotype was 47.8 ± 12.6. In particular, 9 patients (32.1%) exhibited the morning chronotype, 6 (21.4%) the intermediate chronotype and 13 (46.4.%) the evening chronotype. No significant difference was found in gender and age among the chronotype categories. Patients with the evening chronotype had higher blood pressure values and worse metabolic parameters than those with the morning chronotype. In the control group, the mean score of the chronotype was 57.6 ± 9.5. In particular, 16 (57.1%) subjects exhibited the morning chronotype, 10 (35.7%) the intermediate chronotype and only 2 (7.1.%) the evening chronotype. The prevalence of intermediate and evening chronotypes was higher in females than males (p = 0.021), while males have a higher prevalence of the morning chronotype. Subjects with intermediate and evening chronotypes had worse metabolic parameters than those with the morning chronotype. In patients, the chronotype score was inversely correlated to WC, BMI, SBP, DBP, plasma glucose, total cholesterol, triglycerides, LDL cholesterol and positively correlated with HDL cholesterol. No correlation was found between age and chronotype. In controls, the chronotype score was inversely correlated to WC, BMI, plasma glucose, total cholesterol, LDL cholesterol. No correlation was found among chronotype and age, blood pressure, triglycerides, HDL cholesterol. Considering the whole population of the study (patients and controls), at logistic regression the chronotype score was significantly associated with the presence of CP. Conclusions: for the first time thus far, our study puts the light on the association of the CP with chronotypes and metabolic alterations in this disease, which are the main determinants of the reduced quality of life, higher morbidity and mortality in this setting of patients. This finding suggests that alterations of chronotype might represent an adjunctive risk for CP patients and a possible target for their integrate management.

The linkage "Body Mass Index-Insomnia Levels-Eating Disorder Flexibility" in Italian nurses during the Covid-19 outbreak: a psychoendocrinological employment disease

AIM

To evaluate differences between insomnia condition and flexibility attitude to eating in Italian nurses directly involved in the care of patients affected by Covid-19 according to sex, Body Mass Index, shift working condition and incidence of new Covid-19 cases in the region of participants. Moreover, any correlations between the insomnia condition and the flexible attitude to eat have been investigated.

METHODS

An online questionnaire was administered in October 2020, including the socio-demographic section, the insomnia condition assessment, and the behavioral flexibility evaluation to develop an eating disorder.

RESULTS

341 Italian nurses answered the questionnaire. Regarding the insomnia condition levels, nurses belonging to regions with a higher incidence rate of the Covid-19 pandemic recorded higher levels of insomnia than others (p=.004). Females and nurses belonging to areas with lower Covid-19 incidence rate recorded a significantly higher total eating flexibility attitude (p=.003; p<.001), also, in the Food and Exercise flexibility (p=.007; p<.001). As regards the flexible attitude for weight and shape, significant differences were recorded among nurses according to their BMI values (p<.001) and to their incidence rate of the belonging region (p<.001). The insomnia condition levels significantly correlated with the eat flexibility attitude both in its total score (p=.010), in the general score (p=.010), and the weight and shape score (p<.001). All correlations between the insomnia conditions and the flexibility to eat were significantly inverse except for the food and exercise dimension. All the eat flexibility sub-dimensions significantly correlated among them (p<.001).

CONCLUSION

There was a direct correlation among socio-demographic factors, BMI values, insomnia, and behavioral flexibility scores in Italian nurses. So, it could be assumed that the nursing profession is at risk of developing a metabolic syndrome condition. Therefore, it could be considered a psychoendocrinological employment disease during the Covid-19 outbreak.

Chronotype and cardio metabolic health in obesity: does nutrition matter?

The aim of the study was to investigate the association of chronotype categories with type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD) in 172 middle-aged adults (71.5% females; 51.8 ± 15.7 years). Anthropometric parameters, lifestyle habits, adherence to the Mediterranean Diet (MD), sleep quality, chronotype and the presence of T2DM and CVD were studied. Chronotype was classified as morning in 58.1% of subjects, evening in 12.8% and intermediate in 28.1%. Subjects with evening chronotype followed an unhealthier lifestyle than other chronotypes; indeed, they significantly performed less regular activity and were more frequently smokers. Furthermore, they had significantly higher risk to have T2DM [Odds Ratio (OR)=3.36 95% confidence interval (CI) 1.14-35.42; p = 0.03] and CVD [Odds Ratio (OR)= 5.89 95% CI 1.14-30.60; p = 0.035](CI) 2.24-407.54); p = 0.01] compared to morning chronotype after adjustment for gender, body mass index (BMI), sleep quality and adherence to the MD. The confidence intervals were wide, indicating that the sample size was too small. Thus, these data need to be replicated in a larger sample size. In addition, nutritional assessment was limited since only PREDIMED questionnaire was carried out. However, the main strengths of this study included a random sample and a population-based approach, although the cross-sectional design cannot establish causality. Although study population was unbalanced per gender and smoking and age group representing only middle-aged people,we adjusted the statistical analysis for potential confounding factors. In conclusion, the evening chronotype has an increased risk to be associated to T2DM and CVD.