Lifestyle-related Variables Research Articles

Sources of variation in the serum metabolome of female participants of the HUNT2 study.

The aim of this study was to explore the intricate relationship between serum metabolomics and lifestyle factors, shedding light on their impact on health in the context of breast cancer risk. Detailed metabolic profiles of 2283 female participants in the Trøndelag Health Study (HUNT study) were obtained through nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS).We show that lifestyle-related variables can explain up to 30% of the variance in individual metabolites. Age and obesity were the primary factors affecting the serum metabolic profile, both associated with increased levels of triglyceride-rich very low-density lipoproteins (VLDL) and intermediate-density lipoproteins (IDL), amino acids and glycolysis-related metabolites, and decreased levels of high-density lipoproteins (HDL). Moreover, factors like hormonal changes associated with menstruation and contraceptive use or education level influence the metabolite levels.Participants were clustered into three distinct clusters based on lifestyle-related factors, revealing metabolic similarities between obese and older individuals, despite diverse lifestyle factors, suggesting accelerated metabolic aging with obesity. Our results show that metabolic associations to cancer risk may partly be explained by modifiable lifestyle factors.

Intensity of Physical Activity in Young People: Focus on Emotional, Cognitive, and Healthy Lifestyle-Related Variables.

The college years represent a crucial developmental period in which unhealthy behaviors, including smoking, alcohol consumption, inadequate physical activity (PA), poor sleep quality, and unhealthy nutrition habits are often acquired, influencing the onset or exacerbation of pre-existing mental disturbances such as anxiety, depression, or difficulties in emotion regulation. Our aim was to analyze the effect of the intensity of physical activity (PA) on the emotional, behavioral, and cognitive variables in a sample of young people. We recruited 103 participants (19.85 ± 0.25) who completed several online questionnaires (IPAQ-SF, STAI-t, DERS, UPPS-P, ISP-20, and Mini-IPIP). Subsequently, face-to-face sessions were conducted to assess the cognitive variables and to collect more details about their lifestyle habits, including drug use, sleep quality, and leisure activities. Based on the IPAQ-SF results, we categorized the sample into three groups: light PA (n = 47), moderate PA (n = 29), and vigorous PA (n = 27). Vigorous PA group showed better emotional regulation, lower impulsivity, fewer prefrontal symptoms and unhealthy behaviors, better sleep quality, and more leisure activities. No significant cognitive differences were found. It seems that young people are a vulnerable group with emotional and impulsivity traits and engaging in intense PA appears to be a promising avenue for managing these symptoms. In conclusion, our study suggests that young people are a vulnerable group with emotional and impulsivity traits that may precipitate in future mental disorders. Nevertheless, engaging in PA, particularly at high intensity, appears to be a promising avenue for reducing and managing these symptoms during this critical period of life.

Chronotype and lifestyle in the transition to adulthood: Exploring the role of sleep health and circadian misalignment

ObjectivesThe present study aimed at exploring the association between eveningness and lifestyle-related variables, that is, body mass index, alcohol, and cigarette consumption, in adults (18-40years), focusing on the possible moderator effect of age and the role of sleep disturbances and circadian misalignment (social jetlag). MethodsA web-based survey was administered to 437 participants, covering demographics, lifestyle-related variables, chronotype, sleep quality, and daytime sleepiness. A subset of 206 participants wore a wrist actigraph for a week, allowing the creation of a sleep health index within the RU-SATED framework. Regression analysis was used to investigate the associations between chronotype and lifestyle-related outcomes, accounting for social jetlag and sleep health; and to explore the lifestyle trajectories over time. ResultsEvening chronotypes showed higher body mass index levels, consumed more alcohol, and smoked more cigarettes than other circadian typologies, in particular after 25 years of age. Poor sleep health and social jetlag significantly contribute to explaining evening types smoking behavior, while not affecting body mass index levels. Social jetlag plays a more important role compared to sleep disturbances and eveningness in predicting more detrimental drinking and smoking behavior. ConclusionsParticipants who maintain the evening trait past the age of 25years are more prone to adopt an unhealthy lifestyle, especially if experiencing poor sleep health and circadian misalignment. Circadian preferences and sleep health should be considered when planning interventions aimed at promoting healthy lifestyles in adults aged 18-40years. Further investigations should explore the effect of modifications in lifestyle in the prevention of noncommunicable diseases.

Hydration status of esports players in a live competition

Objectives: esports are an increasingly popular activity that involves professional players. Dehydration hinders cognitive performance, on which these competitors rely heavily. This observational study assessed the hydration state of esports players on a competition day and its possible associations with esports and lifestyle-related features.Methods: The hydration status of esports players was assessed on a tournament day through urine-specific gravity and by comparison with the Armstrong urine color chart. Binary logistic regression and univariate analysis of variance were applied to assess the relationships between urine-specific gravity and age, BMI, hours of sleep per day, hours of video game play per day, esports title, physical activity level, and professionalism level.Results: Ninety-eight esports players participated in this study. The average urine-specific gravity, assessed through refractometry, was 1.020 (SD = 0.007) g/cm³. 10.2% were classified as well hydrated, 25.5% with minimal dehydration, 60.2% with significant dehydration, and 4.1% with serious dehydration. Considering the eight-color urine chart method, 16.3% were classified with minimal dehydration, 65.3% with significant dehydration, and 18.4% as serious dehydration. There were no significant associations between hydration status and lifestyle-related variables (p > 0.05). The results of the two methods of assessing hydration status presented a positive, moderate, and statistically significant correlation (r = 0.711, p < 0.001). The agreement between the two classifications was 56.1%, with Cohen’s kappa showing a weak agreement (k = 0.213, p < 0.001) even if with linear (k = 0.330, p < 0.001) or quadratic (k = 0.471, p < 0.001) weighting.

Comparative analysis of heart failure prediction using machine learning models

Heart failure is a critical health problem worldwide, and its prediction is a major challenge in medical science. Machine learning has shown great potential in predicting heart failure by analyzing large amounts of medical data. Heart failure prediction with the help of machine learning classification algorithms involves the use of models such as decision trees, logistic regression, and support vector machines to identify and analyze potential risk factors for heart failure. By analyzing large datasets containing medical and lifestyle-related variables, these models can accurately predict the likelihood of heart failure occurrence in individuals. In our research, the heart failure prediction and comparison are done using Logistic Regression, KNN, SVM, decision tree and random forest The accurate identification of high-risk individuals enables early intervention and better management of heart failure, reducing the risk of mortality and morbidity associated with this condition. Overall, machine learning algorithms play a major role in improving the accuracy of heart failure risk assessment, allowing for more personalized and effective prevention and treatment strategies.

Association Between Ultra-Processed Food Consumption and Leucocyte Telomere Length: A cross-sectional study of UK Biobank

ObjectiveThis study aimed to investigate the association between consumption of ultra-processed foods (UPFs) and leucocyte telomere length (LTL). MethodsThis cross-sectional study utilized data from the UK Biobank, including a total of 64,690 participants. LTL was measured using Q-PCR with natural logarithmic conversion and Z-score normalization. Dietary data were collected through a 24-hour recall questionnaire from 2009 to 2010. UPFs were identified using the Nova food classification and analyzed as either a continuous or categorical variable respectively. Multiple linear regression models were employed to analyze the association between UPF consumption and LTL. ResultsThe included participants had an average age of 56.26 years, of whom 55.2% were female. After adjusting for sociodemographic, lifestyle-related and anthropometric variables, LTL exhibited a decrease of 0.005 (95% CI: −0.007, −0.002) with one UPF serving/day increase. Compared to participants consuming ≤ 3.5 servings/day, those consuming 3.5 to < 6, 6 to ≤ 8 and > 8 servings/day showed a shortening of LTL by 0.025 (95% CI: −0.047, −0.004), 0.034 (95% CI: −0.055, −0.012) and 0.038 (95% CI: −0.062, −0.015), respectively (P for trend = 0.001). Subgroup analyses by UPF subclasses revealed that consumption of ready-to-eat/heated food (β = −0.008, 95% CI: −0.014, −0.002), beans and potatoes (β = −0.024, 95% CI: −0.039, −0.009), animal-based products (β = −0.011, 95% CI: −0.019, −0.004), artificial sugar (β = −0.014, 95% CI: −0.025, −0.004), and beverages (β = −0.005, 95% CI: −0.009, −0.001) showed negative associations with LTL. Conversely, breakfast cereals (β = 0.020, 95% CI: 0.004, 0.036) and vegetarian alternatives (β = 0.057, 95% CI: 0.027, 0.086) showed positive correlations with LTL. ConclusionsOur study found that a higher consumption of total UPFs was associated with a shorter LTL. However, some subclass UPFs may be associated with longer LTL, depending on their nutritional composition.

RESIDENCE AT HIGH ALTITUDE IS ASSOCIATED WITH LOWER CONVENTIONAL AND AMBULATORY BLOOD PRESSURE THAN LIVING AT SEA LEVEL IN THE GENERAL POPULATION OF PERU. HIGHCARE-LAPS STUDY

Objective: Acute exposure to hypoxia at high altitude (HA) leads to an increase in blood pressure (BP) in healthy individuals and in hypertensive patients. Little is known, however, about the effect of long-term HA residence on BP. Available data based on conventional BP measurements are inconsistent and no general population studies using 24-h ambulatory BP monitoring (ABPM) have been conducted. Aim of HIGHCARE-LAPS was to compare BP levels and cardiovascular risk profile among population-based samples of subjects residing in Peruvian communities living at different altitudes. BP-related data are reported in this paper. Design and method: Study participants were recruited by sex- and age-stratified random multistage cluster sampling from the general adult population residing permanently in urban areas at different altitudes in Peru (Lima, &lt;500m, Huancayo 3287m, Juliaca 3824m, Cerro de Pasco 4330m). In all participants questionnaire-based information, conventional BP (3 seated measurements with a validated oscillometric device, HEM7121 OMRON, Japan), 24-hour ambulatory BP (A&amp;D TM2430, Japan) and laboratory variables were obtained. Results: The study included 206 lowlanders and 595 highlanders. Highlanders were slightly younger, had lower BMI, oxygen saturation and prevalence of antihypertensive medication use and higher haematocrit. In highlanders all conventional and ambulatory BP values were lower and heart rate values higher than in lowlanders. Comparisons between lowlander and highlander samples and for individual sites at different altitudes are reported in the Table. The difference in 24-hour systolic BP between highlanders and lowlanders remained significant (7.2 mmHg, p&lt;0.001) in a linear multiple regression model adjusting for age, sex, BMI, 24-hour heart rate, respiratory rate, and haematocrit. These covariates were selected by LASSO method from a set also including lifestyle-related variables. Conclusions: Permanent residence at high altitude is independently associated with lower conventional and ambulatory BP levels than low altitude residence in the general population of Peru. This relationship does not seem to be explained by lifestyle differences. Mechanisms behind this difference and its impact on cardiovascular risk should be further investigated. Also, comparative studies with other highland populations with different adaptive characteristics would allow to understand better the effects of HA residence on cardiovascular health.

In Search of Novel SGLT2 Inhibitors by High-throughput Virtual Screening.

Type 2 diabetes mellitus constitutes approximately 90% of all reported forms of diabetes mellitus. Insulin resistance characterizes this manifestation of diabetes. The prevalence of this condition is commonly observed in patients aged 45 and above; however, there is an emerging pattern of younger cohorts receiving diagnoses primarily attributed to lifestyle-related variables, including obesity, sedentary behavior, and poor dietary choices. The enzyme SGLT2 exerts a negative regulatory effect on insulin signaling pathways, resulting in the development of insulin resistance and subsequent elevation of blood glucose levels. The maintenance of glucose homeostasis relies on the proper functioning of insulin signaling pathways, while disruptions in insulin signaling can contribute to the development of type 2 diabetes. Our study aimed to identify novel SGLT2 inhibitors by high-throughput virtual Screening. We screened the May bridge Hit Discover database to identify potent hits followed by druglikeness, synthetic accessibility, PAINS alert, toxicity estimation, ADME assessment, and consensus molecular docking. The screening process led to the identification of three molecules that demonstrated significant binding affinity, favorable drug-like properties, effective ADME, and minimal toxicity. The identified molecules could manage T2DM effectively by inhibiting SGLT2, providing a promising avenue for future therapeutic strategies.

Associations between daily home blood pressure measurements and self-reports of lifestyle and symptoms in primary care: the PERHIT study

Objective To explore in a primary care setting the associations between patients’ daily self-measured blood pressure (BP) during eight weeks and concurrent self-reported values of wellbeing, lifestyle, symptoms, and medication intake. We also explore these associations for men and women separately. Design and setting The study is a secondary post-hoc analysis of the randomised controlled trial PERson-centeredness in Hypertension management using Information Technology (PERHIT). The trial was conducted in primary health care in four regions in Southern Sweden. Patients Participants (n = 454) in the intervention group in the PERHIT-trial used an interactive web-based system for self-management of hypertension for eight consecutive weeks. Each evening, participants reported in the system their wellbeing, lifestyle, symptoms, and medication adherence as well as their self-measured BP and heart rate. Main outcome measures Association between self-reported BP and 10 self-report lifestyle-related variables. Results Self-reported less stress and higher wellbeing were similarly associated with BP, with 1.0 mmHg lower systolic BP and 0.6/0.4 mmHg lower diastolic BP (p < 0.001). Adherence to medication had the greatest impact on BP levels (5.2/2.6 mmHg, p < 0.001). Restlessness and headache were also significantly associated with BP, but to a lesser extent. Physical activity was only significantly associated with BP levels for men, but not for women. Conclusion In hypertension management, it may be important to identify patients with high-stress levels and low wellbeing. The association between medication intake and BP was obvious, thus stressing the importance of medication adherence for patients with hypertension.

Factors related to depression in adults with oral health problems in Spain (2017 to 2020).

The need to study the link between gender, depression, and oral health is becoming increasingly evident. This study therefore aimed to determine the prevalence and evolution over time of depression among women and men with oral health problems and to evaluate the association between depression status, lifestyle-related variables health-related variables and use of dental health services in those people. We performed a nationwide cross-sectional study on 25,631 adults with oral health problems residing in Spain from the Spanish National Health Survey 2017 and the European Health Survey of Spain 2020, including as the main variable self-reported diagnosis of depression. We analysed independent variables such as lifestyle-related variables, health-related variables, and variables related to dental health services. Sociodemographic characteristics were considered as control variables. The prevalence of depression among adults with oral health problems in Spain was 7.81% (10.14% for women, 5.39% for men), with a notable decrease from 2017 to 2020 in women. Depressed women had a slightly higher percentage of filled or capped teeth, and had more covers (crowns), bridges or other types of prostheses or dentures, while men had more caries. Women also made more frequent, regular dental visits for check-ups and mouth cleaning, whereas men often needed extractions. Unfavourable associated factors in both genders were: perceiving their health as good, average, poor, or very poor, and having 1-2 and ≥ 3 comorbidities. Conversely, not being a current smoker was related to less likelihood of depression. In women only, not engaging in leisure-time physical activity produced more unfavourable associated factors. The prevalence of depression among adults with oral health problems in Spain from 2017 to 2020 was 7.81%, but this figure has been steadily decreasing over time. In addition, the favourable and unfavourable associated factors could help us inform health professionals and authorities in order to prevent depression and enhance the care of this population according to gender.

An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank.

Pancreatic cancer (PaCa) is a lethal cancer with an increasing incidence, highlighting the need for early prevention strategies. There is a lack of a comprehensive PaCa predictive model derived from large prospective cohorts. Therefore, we have developed an integrated PaCa risk prediction model for PaCa using data from the UK Biobank, incorporating lifestyle-related, genetic-related, and medical history-related variables for application in healthcare settings. We used a machine learning-based random forest approach and a traditional multivariable logistic regression method to develop a PaCa predictive model for different purposes. Additionally, we employed dynamic nomograms to visualize the probability of PaCa risk in the prediction model. The top five influential features in the random forest model were age, PRS, pancreatitis, DM, and smoking. The significant risk variables in the logistic regression model included male gender (OR = 1.17), age (OR = 1.10), non-O blood type (OR = 1.29), higher polygenic score (PRS) (Q5 vs. Q1, OR = 2.03), smoking (OR = 1.82), alcohol consumption (OR = 1.27), pancreatitis (OR = 3.99), diabetes (DM) (OR = 2.57), and gallbladder-related disease (OR = 2.07). The area under the receiver operating curve (AUC) of the logistic regression model is 0.78. Internal validation and calibration performed well in both models. Our integrative PaCa risk prediction model with the PRS effectively stratifies individuals at future risk of PaCa, aiding targeted prevention efforts and supporting community-based cancer prevention initiatives.

Beyond labels: segmenting the Gen Z market for more effective marketing

Purpose The purpose of this study is to identify segments in the Gen Z population (born between 1996 and 2010) in Europe, the USA and Australia, based on brand- and lifestyle-related variables and perceptions about their online activities. This study explores how these segments differ and provide insights into cross-country similarities and differences. Design/methodology/approach An online survey was conducted with 4,304 participants, and cluster analysis and analysis of variance were used to identify and profile Gen Z segments in each of three geographical areas. Findings Five segments in Europe and four segments in the USA and in Australia were identified. Segments differ in terms of the importance they attach to exclusivity, inclusivity and sustainability of brands, how Gen Z members perceive money issues and stand in life and how they perceive their online activities. Similar segments are found in the three geographical areas. Research limitations/implications This study proposes a conceptual and analytical approach for exploring intra-cohort diversity. Future research can apply this approach to different generational cohorts and use it to study intra-cohort diversity in other parts of the world. Practical implications This study provides input for marketing practitioners to create better focused and more effective campaigns. Originality/value Cross-country generational cohort research is scarce, and especially intra-cohort diversity is under-researched. This study offers a deep and fine-grained insight into the diversity of the Gen Z cohort across three geographical areas, based on representative samples in these areas.

The Relation of Lifestyle with Inflammation at the Time of Diagnosis in Patients with Colorectal Cancer.

Colorectal cancer is one of the most common lifestyle-related types of cancer. The exact pathophysiologic mechanism in the relation between (visceral) adipose tissue, systemic inflammation and colorectal cancer remains unknown. This study aimed to assess the association of lifestyle with markers of systemic inflammation at the time of diagnosis in stage I-III colorectal cancer patients. Patients (n = 298) with stage I-III colorectal cancer from three Dutch hospitals were included at diagnosis. Several lifestyle-related variables (MUST nutritional status score, WCRF/AICR healthy lifestyle score, active smoking, alcohol consumption and BMI) and inflammatory markers (plasma levels of IL-6, IL-8, IL-10, TNFα and 'high sensitive' hsCRP) were measured at the time of diagnosis. Confounder-adjusted multivariable linear regression models were used to analyse how the lifestyle variables were associated with the inflammatory markers. Statistically significant associations were found between a better WCRF/AICR lifestyle score and lower levels of IL-6 and hsCRP. A medium and high risk of malnutrition according to the MUST score was associated with elevated levels of both IL-8 and hsCRP. An overall unhealthier lifestyle indicated by a lower WCRF/AICR lifestyle score and a higher risk of malnutrition according to the MUST score at the time of diagnosis was associated with elevated levels of inflammatory markers. These findings can contribute to formulating lifestyle advice to improve treatment outcomes and prognosis in patients having CRC in the future.

Cross-Sectional Association between Estimated Hardness of the Habitual Diet and Depressive Symptoms in Older Japanese Men.

This cross-sectional study aimed to investigate the association between dietary hardness and depressive symptoms in older Japanese men. Participants were 1487 men aged 60-69 years enrolled in the baseline survey of the Hitachi Health Study II (2017-2020). Habitual dietary intake was estimated by a brief-type, self-administered diet history questionnaire. Dietary hardness was defined as the magnitude of masticatory muscle activity necessary to consume solid foods. The participants who scored ≥ 9 points on a short version of the Center for Epidemiologic Studies Depression Scale were considered to have depressive symptoms. The prevalence of depressive symptoms was 12.7%. The ORs (95% CIs) for depressive symptoms in the third tertile of dietary hardness were significantly lower after adjustment for sociodemographic and lifestyle-related variables and mood-modulating nutrients (ORs [95% CIs]: 0.93 [0.63, 1.36] and 0.58 [0.35, 0.97] for the second and third tertile, respectively [p-value for trend = 0.04]). Dietary hardness was inversely associated with the prevalence of depressive symptoms in older Japanese men. Future studies should confirm these findings and clarify the role of consuming a hard diet in preventing depressive disorders.

A Systematic Analysis of Biological, Sociodemographic, Psychosocial, and Lifestyle Factors Contributing to Work Ability Across the Working Life Span: Cross-sectional Study

As employees age, their physical and mental abilities decline and work ability decreases, enhancing the risk for long-term sick leave or even premature retirement. However, the relative impact of biological and environmental determinants on work ability with increasing age is poorly understood in terms of their complexity. Previous research has shown relationships between work ability and job and individual resources, as well as specific demographic and lifestyle-related variables. However, other potentially important predictors of work ability remain unexplored, such as personality traits and biological determinants, including cardiovascular, metabolic, immunological, and cognitive abilities or psychosocial factors. Our aim was to systematically evaluate a wide range of factors to extract the most crucial predictors of low and high work ability across the working life span. As part of the Dortmund Vital Study, 494 participants from different occupational sectors, aged between 20 and 69 years, completed the Work Ability Index (WAI) assessing employee's mental and physical resources. A total of 30 sociodemographic variables were grouped into 4 categories (social relationships, nutrition and stimulants, education and lifestyle, and work related), and 80 biological and environmental variables were grouped into 8 domains (anthropometric, cardiovascular, metabolic, immunologic, personality, cognitive, stress related, and quality of life) and have been related to the WAI. Using the analyses, we extracted important sociodemographic factors influencing work ability, such as education, social activities, or sleep quality, and identified age-dependent and age-independent determinants of work ability. Regression models explained up to 52% of the WAI variance. Negative predictors of work ability were chronological and immunological age, immunological inefficiency, BMI, neuroticism, psychosocial stress, emotional exhaustion, demands from work, daily cognitive failures, subclinical depression, and burnout symptoms. Positive predictors were maximum heart rate during ergometry, normal blood pressure, hemoglobin and monocyte concentration, weekly physical activity, commitment to the company, pressure to succeed, and good quality of life. The identified biological and environmental risk factors allowed us to evaluate work ability in its complexity. Policy makers, employers, and occupational safety and health personnel should consider the modifiable risk factors we identified to promote healthy aging at work through focused physical, dietary, cognitive, and stress-reduced preventive programs, in addition to well-balanced working conditions. This may also increase the quality of life, commitment to the job, and motivation to succeed, which are important factors to maintain or even enhance work ability in the aging workforce and to prevent early retirement. ClinicalTrials.gov NCT05155397; https://clinicaltrials.gov/ct2/show/NCT05155397. RR2-10.2196/32352.

Different associations of occupational and leisure-time physical activity with the prevalence of hypertension among middle-aged community dwellers in rural Khánh Hòa, Vietnam

BackgroundIn contrast to high-income countries where physical activity (PA), particularly leisure-time PA, has been shown to be protective against hypertension, few studies have been conducted in low- and middle-income countries. We examined the cross-sectional association between PA and hypertension prevalence among rural residents in Vietnam.MethodsWe used data collected in the baseline survey of a prospective cohort study, among 3000 people aged 40–60 years old residing in rural Khánh Hòa, Vietnam. Hypertension was defined as systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or the use of antihypertensive medication. We assessed occupational PA and leisure-time PA using the Global Physical Activity Questionnaire. A robust Poisson regression model was used to investigate the associations, with adjustment for covariates.ResultsThe prevalence of hypertension was 39.6%. After adjusting for socio-demographic and lifestyle-related variables, leisure-time PA was positively associated with hypertension prevalence (prevalence ratio [PR]: 1.03 per 10 MET-hour/week, 95% confidence interval [CI] 1.01–1.06). Occupational PA was inversely associated with hypertension prevalence (PR: 0.98 per 50 MET-hour/week, 95% CI = 0.96–0.996). After adjusting for BMI and other health-related variables, the association related to occupational PA became statistically non-significant, while the association related to leisure-time PA remained statistically significant.ConclusionIn contrast to previous studies in high-income countries, we found that leisure-time PA was positively associated with hypertension prevalence and occupational PA was associated with a lower hypertension prevalence. This suggests that the association between PA and hypertension might differ depending on the context.

The impact of alcoholic drinks and dietary factors on epigenetic markers associated with triglyceride levels.

Background: Many epigenetic loci have been associated with plasma triglyceride (TG) levels, but epigenetic connections between those loci and dietary exposures are largely unknown. This study aimed to characterize the epigenetic links between diet, lifestyle, and TG. Methods: We first conducted an epigenome-wide association study (EWAS) for TG in the Framingham Heart Study Offspring population (FHS, n = 2,264). We then examined relationships between dietary and lifestyle-related variables, collected four times in 13years, and differential DNA methylation sites (DMSs) associated with the last TG measures. Third, we conducted a mediation analysis to evaluate the causal relationships between diet-related variables and TG. Finally, we replicated three steps to validate identified DMSs associated with alcohol and carbohydrate intake in the Genetics of Lipid-Lowering Drugs and Diet Network (GOLDN) study (n = 993). Results: In the FHS, the EWAS revealed 28TG-associated DMSs at 19 gene regions. We identified 102 unique associations between these DMSs and one or more dietary and lifestyle-related variables. Alcohol and carbohydrate intake showed the most significant and consistent associations with 11TG-associated DMSs. Mediation analyses demonstrated that alcohol and carbohydrate intake independently affect TG via DMSs as mediators. Higher alcohol intake was associated with lower methylation at seven DMSs and higher TG. In contrast, increased carbohydrate intake was associated with higher DNA methylation at two DMSs (CPT1A and SLC7A11) and lower TG. Validation in the GOLDN further supports the findings. Conclusion: Our findings imply that TG-associated DMSs reflect dietary intakes, particularly alcoholic drinks, which could affect the current cardiometabolic risk via epigenetic changes. This study illustrates a new method to map epigenetic signatures of environmental factors for disease risk. Identification of epigenetic markers of dietary intake can provide insight into an individual's risk of cardiovascular disease and support the application of precision nutrition. Clinical Trial Registration: www.ClinicalTrials.gov, the Framingham Heart Study (FHS), NCT00005121; the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN), NCT01023750.

Multimorbidity of chronic noncommunicable diseases: Data from the Brazilian National Health Survey

Objective: To estimate the prevalence of simultaneity of obesity, hypertension and/or diabetes and the association with sociodemographic and lifestyle-related behavior variables.

Risk of autoimmune diseases in patients with COVID-19: a retrospective cohort study

There are a growing number of case reports of various autoimmune diseases occurring after COVID-19, yet there is no large-scale population-based evidence to support this potential association. This study provides a closer insight into the association between COVID-19 and autoimmune diseases and reveals discrepancies across sex, age, and race of participants. This is a retrospective cohort study based on the TriNetX U.S. Collaborative Network. In the test-negative design, cases were participants with positive polymerase chain reaction (PCR) test results for SARS-CoV-2, while controls were participants who tested negative and were not diagnosed with COVID-19 throughout the follow-up period. Patients with COVID-19 and controls were propensity score-matched (1: 1) for age, sex, race, adverse socioeconomic status, lifestyle-related variables, and comorbidities. The primary endpoint is the incidence of newly recorded autoimmune diseases. Adjusted hazard ratios (aHRs) and 95% confident intervals (CIs) of autoimmune diseases were calculated between propensity score-matched groups with the use of Cox proportional-hazards regression models. Between January 1st, 2020 and December 31st, 2021, 3,814,479 participants were included in the study (888,463 cases and 2,926,016 controls). After matching, the COVID-19 cohort exhibited significantly higher risks of rheumatoid arthritis (aHR:2.98, 95% CI:2.78-3.20), ankylosing spondylitis (aHR:3.21, 95% CI:2.50-4.13), systemic lupus erythematosus (aHR:2.99, 95% CI:2.68-3.34), dermatopolymyositis (aHR:1.96, 95% CI:1.47-2.61), systemic sclerosis (aHR:2.58, 95% CI:2.02-3.28), Sjögren's syndrome (aHR:2.62, 95% CI:2.29-3.00), mixed connective tissue disease (aHR:3.14, 95% CI:2.26-4.36), Behçet's disease (aHR:2.32, 95% CI:1.38-3.89), polymyalgia rheumatica (aHR:2.90, 95% CI:2.36-3.57), vasculitis (aHR:1.96, 95% CI:1.74-2.20), psoriasis (aHR:2.91, 95% CI:2.67-3.17), inflammatory bowel disease (aHR:1.78, 95%CI:1.72-1.84), celiac disease (aHR:2.68, 95% CI:2.51-2.85), type 1 diabetes mellitus (aHR:2.68, 95%CI:2.51-2.85) and mortality (aHR:1.20, 95% CI:1.16-1.24). COVID-19 is associated with a different degree of risk for various autoimmune diseases. Given the large sample size and relatively modest effects these findings should be replicated in an independent dataset. Further research is needed to better understand the underlying mechanisms. Kaohsiung Veterans General Hospital (KSVGH111-113).

Sleepless Pandemic: A Cross-Sectional Analysis of Insomnia Symptoms among Professionally Active Romanians during the COVID-19 Pandemic

Background: The COVID-19 pandemic put considerable strain on individual mental health. The current study aimed to determine the prevalence and severity of insomnia symptoms among students and employees during this period. Methods: This paper is a cross-sectional analysis using convenience sampling. A web-based anonymous survey was developed and included questions about socio-demographic characteristics, contact with COVID-19, and the Athens Insomnia Scale. Results: 620 participants, 331 students, and 289 employees were included in the final sample. According to the current findings, 21.29% (n = 132) of participants met the criteria for insomnia, and 39.03% (n = 242) met the criteria for mild sleep disturbances. Conclusions: Although respondents reported an increased prevalence of sleep disorders, these changes were not directly related to the presence or severity of the infection but rather to a variety of socio-demographic and lifestyle-related variables. Students associated more frequently with the next-day consequences of insomnia (overall functioning and sleepiness during the day), while for employees, the most prevalent were awakenings during the night and early morning awakenings. Furthermore, sleep difficulties were more prevalent in women, single people, sedentary people, and those with psychiatric disorders.