Socioeconomic Inequalities in Metabolic Syndrome by Age and Gender in a Spanish Working Population

Pomegranate (Punica granatum L.) phytochemicals target the components of metabolic syndrome

Pomegranate (Punica granatum L.) is a multipurpose dietary and medicinal plant known for its ability to promote various health benefits. Metabolic syndrome (MetS) is a complex metabolic disorder driving health and socioeconomic challenges worldwide. It may be characterized by insulin resistance, abdominal obesity, hypertension, and dyslipidemia. This study aims to conduct a review of pomegranate's effects on MetS parameters using a mechanistic approach relying on pre-clinical studies. The peel, juice, roots, bark, seeds, flowers, and leaves of the fruit present several bioactive compounds that are related mainly to anti-inflammatory and antioxidant activities as well as cardioprotective, antidiabetic, and antiobesity effects. The use of the juice extract can work as a potent inhibitor of angiotensin-converting enzyme activities, consequently regulating blood pressure. The major bioactive compounds found within the fruit are phenolic compounds (hydrolysable tannins and flavonoids) and fatty acids. Alkaloids, punicalagin, ellagitannins, ellagic acid, anthocyanins, tannins, flavonoids, luteolin, and punicic acid are also present. The antihyperglycemia, antihyperlipidemia, and weight loss promoting effects are likely related to the anti-inflammatory and antioxidant effects. When considering clinical application, pomegranate extracts are found to be frequently well-tolerated, further supporting its efficacy as a treatment modality. We suggest that pomegranate fruit, extract, or processed products can be used to counteract MetS-related risk factors. This review represents an important step towards exploring potential avenues for further research in this area.

The mediating effect of sleep duration on metabolic syndrome severity in adults: a structural equation modeling approach

BACKGROUND

Metabolic syndrome (MetS) is associated to sleep duration. It is crucial to identify factors that disrupt sleep regulation. The study aimed to assess the indirect effect of risk factors related to MetS severity through sleep duration by utilizing a structural equation model (SEM).

METHODS

The study involving 3,935 adults from the baseline data of the Ravansar Non-Communicable Disease (RaNCD) cohort study. MetS severity scores were the outcome variables. SEM was employed to explore the relationships, utilizing IBM SPSS and AMOS version 23.

RESULTS

The mean MetS severity score was higher in women compared to men (0.25 vs. 0.16, P = 0.003). In men, socioeconomic status (SES) has a positive direct effect (β = 0.048) and a negative indirect effect (β=-0.006) on MetS severity. Increased physical activity is directly (β=-0.036) and indirectly (β=-0.093) associated with reducing MetS severity. Nap duration is directly linked to an increase (β = 0.072) but has an indirect effect (β=-0.008) in decreasing MetS severity. In women, SES has a direct (β=-0.020) and indirect (β=-0.001) inverse relationship with MetS severity. Increased physical activity is directly (β=-0.048) and indirectly (β=-0.036) associated with decreasing MetS severity in women. Nap duration is directly associated with an increase in MetS severity (β=-0.018) but indirectly contributes to its reduction (β=-0.002). Sleep duration not only directly affects MetS severity but is also influenced by age, SES, physical activity, obesity and nap duration.

CONCLUSION

Physical activity, SES, and nap duration directly and indirectly effect the MetS severity. Sleep duration was recognized as a mediating variable that supports the indirect effects.

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

A new metabolic syndrome prediction model for self-evaluation as a primary screening tool in an apparently MetS-free population

BACKGROUND

Metabolic syndrome (MetS) is a growing global public health concern associated with increased morbidity and mortality. The study aimed to establish a simple self-evaluated prediction model to identify MetS.

METHODS

A cross-sectional study based on the American National Health and Nutrition Examination Survey database was performed. Participants aged ≥20 in the 2009-2018 surveys, with no current pregnancy or major morbidities, were included. The model was built with data from 2009 to 2016 and validated using 2017-2018 data. MetS was defined according to AHA/NHLBI guidelines. Multivariable logistic regression was applied to build a prediction model. The area under the receiver operating characteristic curve (AUC) was used to assess the discrimination ability and the maximal Youden's index was used to identify the optimal cut-off value.

RESULTS

The study included 4245 individuals (median age 37, IQR 28-49, 51.8% females) in the training group and 911 individuals (median age 37, IQR 28-52, 52.5% females) in the validation group. Older age, male gender, non-Black race, no postsecondary education, and higher BMI were significantly associated with increased risk of MetS. The final model included age, gender, race, education, and BMI, and showed good discrimination ability (AUC = 0.810, 95% CI 0.793-0.827, sensitivity 80.4%, specificity 66.2%, positive likelihood ratio 2.379, negative likelihood ratio 0.296, PPV 59.6% and NPV 84.5%).

CONCLUSION

A new model for self-evaluation may serve as a primary, easy-to-use screening tool to identify MetS in an apparently MetS-free population. A simple application may serve for primary and secondary prevention, thus enabling risk reduction in the development of cardiovascular morbidity and health expenditure.

Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults

OBJECTIVES

The worldwide incidence of metabolic syndrome (MetS) has increased in recent decades. In this study, we investigated the socioeconomic inequalities associated with MetS and its components in a sample of the Iranian Kurdish population.

METHODS

We used data from 3,996 participants, aged 35 years to 70 years, from the baseline phase of the Dehgolan Prospective Cohort Study (February 2018 to March 2019). The concentration index and concentration curve were used to measure inequality and the Blinder-Oaxaca decomposition method was used to examine the contribution of various determinants to the observed socioeconomic inequality in MetS and its components.

RESULTS

The prevalence of MetS was 34.44% (95% confidence interval [CI], 32.97 to 35.93). The prevalence of MetS was 26.18% for those in the highest socioeconomic status (SES), compared with 40.51% for participants in the lowest SES. There was a significant negative concentration index for MetS (C=-0.13; 95% CI, -0.16 to -0.09), indicating a concentration of MetS among participants with a lower SES. The most prevalent component was abdominal obesity (59.14%) with a significant negative concentration index (C=-0.21; 95% CI, -0.25 to -0.18). According to decomposition analysis, age, gender, and education were the highest contributing factors to inequality in MetS and its components.

CONCLUSIONS

This study showed socioeconomic inequality in MetS. People with a low SES were more likely to have MetS. Therefore, policymakers and health managers need to develop appropriate strategies to reduce these inequalities in MetS across age groups, genders, and education levels, especially among women and the elderly.

The heterogeneity of metabolic syndrome presentation and challenges this causes in its pharmacological management: a narrative review focusing on principal risk modifiers

INTRODUCTION

Metabolic syndrome (MetS), i.e. the cluster of cardiometabolic risk factors comprising visceral obesity, impaired glucose metabolism, arterial hypertension and atherogenic dyslipidemia, is prevalent globally and exacts a heavy toll on health care expenditures.

AREAS COVERED

The pathophenotypes of individual traits of the MetS in adults are discussed first, with strong emphasis on nonalcoholic fatty liver disease (NAFLD) and sex differences. Next, I discuss recent studies on phenotypic and outcome heterogeneity of the MetS, highlighting the role of NAFLD, sex, reproductive status, and depressive disorders. In the second half of the article, the therapeutic implications of the variable MetS types and features are analyzed, focusing on the most recent developments, and guidelines.

EXPERT OPINION

I have identified physiological, pathological, social and medical sources of phenotypical heterogeneity in the MetS and its constitutive traits. Improved understanding of these variables may be utilized in the setting of future precision medicine approaches in the field of metabolic disorders and target organ damage.

[Metabolic morbidity in the prison population of Catalonia, Spain]

OBJECTIVE

To investigate the prevalence of metabolic morbidity (MM) amongst prison inmates.

DESIGN

Multicentric, cross-sectional observational study.

SETTING

All (nine) prisons in Catalonia.

PARTICIPANTS

Convicted inmates that are not in an «open regime», whose healthcare relies on the Prison Primary Care Teams.

INTERVENTIONS

MM was defined as the presence of at least one component of the metabolic syndrome, i.e., obesity, arterial hypertension, type2 diabetes, and/or dyslipidemia. The variables collected included anthropometric measurements, medical history and laboratory values related to MM. The source of information was the Catalan Primary Healthcare Services Information System (SISAP).

MAIN MEASUREMENTS

The prevalence of MM, overall and by several participant subcategories, was calculated. To investigate the risk factors associated to a higher prevalence of MM, a multivariable logistic regression analysis was carried out and expressed as adjusted odds ratios and 95% confidence intervals.

RESULTS

4338 inmates were studied, of whom 93.9% were male. Mean age was 38.4years, 51.7% were born in European Union countries, and 6.7% were infected by HIV. The variables associated with a significantly increased risk of presenting MM were older age and HIV infection, whereas certain geographical origins (i.e., non-UE European countries, Maghreb and Sub-Saharan Africa) were associated with lower risk of MM.

CONCLUSIONS

In spite of being an overall young population, prison inmates present high rates of MM. Older age, HIV infection and geographic origin appear as the most strongly associated factors with MM in the prison population. MM should be detected early in order to prevent complications. Prevention, screening and treatment of MM ought to be considered a priority in the clinical routine of prison healthcare professionals.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Sex-Related Effects of Gut Microbiota in Metabolic Syndrome-Related Diabetic Retinopathy

The metabolic syndrome (MetS) is a complex disease of metabolic abnormalities, including obesity, insulin resistance, hypertension and dyslipidaemia, and it is associated with an increased risk of cardiovascular disease (CVD). Diabetic retinopathy (DR) is the leading cause of vision loss among working-aged adults around the world and is the most frequent complication in type 2 diabetic (T2D) patients. The gut microbiota are a complex ecosystem made up of more than 100 trillion of microbial cells and their composition and diversity have been identified as potential risk factors for the development of several metabolic disorders, including MetS, T2D, DR and CVD. Biomarkers are used to monitor or analyse biological processes, therapeutic responses, as well as for the early detection of pathogenic disorders. Here, we discuss molecular mechanisms underlying MetS, the effects of biological sex in MetS-related DR and gut microbiota, as well as the latest advances in biomarker research in the field. We conclude that sex may play an important role in gut microbiota influencing MetS-related DR.

Association between Metabolic Syndrome and professional category: a cross-sectional study with Nursing professionals

OBJECTIVE

to evaluate the association of Metabolic Syndrome and its components among Primary Health Care Nursing professionals in the state of Bahia, Brazil, according to professional category.

METHOD

a cross-sectional, population-based and multicenter study conducted with 1,125 Nursing professionals. The independent variable was the professional category, dichotomized into technical and higher education levels. The outcome was Metabolic Syndrome following criteria from the National Cholesterol Education Program Adult Treatment Panel III based on anthropometric measurements and blood samples. The statistical analysis was performed by calculating the prevalence ratios and using Pearson's Chi-square test.

RESULTS

the prevalence of Metabolic Syndrome was higher in the technical level category (PR=1.64; CI=1.29 - 2.06; p≤0.01). When compared to Nurses, these professionals were older, had lower incomes, worked more on duty and performed less physical activity on a regular basis. Among the Nurses, the most prevalent component was altered cholesterol (40.5%) and among the Nursing Technicians/Assistants, it was abdominal obesity (47.3%).

CONCLUSION

the association between the Nursing category and Metabolic Syndrome was evident, with higher occurrence among technical level professionals.

Effect of a Community Gerontology Program on the Control of Metabolic Syndrome in Mexican Older Adults

Background: Metabolic syndrome (MS) is highly prevalent in older adults; it constitutes a risk factor for cognitive deterioration, frailty, and Alzheimer’s disease. For this reason, the WHO has pointed out the importance of the implementation of community programs for the training of healthy aging. The aim of this study was to evaluate the effect of a community gerontology program framed in active aging on the control of metabolic syndrome in older adults. Methods: An experimental study was carried out in a convenience sample of 80 older adults diagnosed with MS according to the ATPIII criteria, comprising (1) experimental group (EG), n = 40; (2) control group (CG), n = 40. During a 6-month period, the EG participated in a supervised community gerontology program, and the CG was assessed monthly. Results: A statistically significant decrease was observed in the number of components for the diagnosis of MS. In this regard, of the total of participants with a diagnosis of MS in EG, only 28% maintained the diagnosis of MS (ATPIII ≥ 3 criteria), in contrast to 83% of the CG participants (p < 0.0001). Conclusions: Our findings suggest that health self-care training within the framework of active aging is effective for the control of MS in older adults.

Social Group Differences in the Exposure Risk of COVID-19: A Case Study in Beijing, China

Taking Beijing as a case, this paper conducted a survey to collect the characteristics of residents’ daily activities, including the mode of frequency and duration of travel, the type and environment of activities, and the duration and frequency of activities. We calculated the COVID-19 exposure risk of residents in different activities based on the exposure risk formula; the influencing factors of residents’ exposure risk were analyzed by regression analysis. The variance of residents’ COVID-19 exposure risk was calculated by coefficient of variation. The main conclusions are as follows: (1) There are differences in activity types of COVID-19 exposure risk, which are survival activity, daily activity and leisure activity from high to low. (2) There are differences in populations of COVID-19 exposure risk. Education level, occupation and income are the main factors affecting residents’ COVID-19 exposure risk. (3) There is internal inequity in the risk of COVID-19 exposure. The exposure risk was higher on work days than on rest days. Health inequities at work are highest on both work days and rest days. Among the different population characteristics, male, 31–40 years old, married, with a high school education, income level of 20,001–25,000 yuan, with a non-local rural hukou, rental housing, farmers, three generations or more living together have a greater degree of COVID-19 exposure risk.

Asociación entre síndrome metabólico y categoría profesional: estudio transversal con profesionales de enfermería

Resumen Objetivo: evaluar la asociación que hay entre el Síndrome Metabólico y sus componentes y los profesionales de Enfermería de la Atención Primaria de Salud en el estado de Bahía, Brasil, según la categoría profesional. Método: estudio transversal, de base poblacional y multicéntrico realizado con 1.125 profesionales de Enfermería. La variable independiente fue la categoría profesional, dicotomizada en niveles de educación técnica y superior. El resultado fue Síndrome Metabólico siguiendo los criterios del National Cholesterol Education Program Adult Treatment Panel III a partir de mediciones antropométricas y muestras de sangre. El análisis estadístico se realizó calculando las razones de prevalencia y utilizando la prueba de Chi-cuadrado de Pearson. Resultados: la prevalencia de Síndrome Metabólico fue mayor en la categoría de nivel técnico (RP=1,64; IC 1,29 - 2,06; p≤0,01). Dichos profesionales tenían mayor edad, menor ingreso, más guardias y realizaban menos actividad física de forma regular que los Enfermeros. En los Enfermeros, el componente más prevalente fue el colesterol alterado (40,5%); en los Técnicos en Enfermería/Auxiliares fue la obesidad abdominal (47,3%). Conclusión: fue evidente la asociación entre la categoría de Enfermería y el Síndrome Metabólico, fue mayor en los profesionales de nivel técnico.

Association between Metabolic Syndrome and professional category: a cross-sectional study with Nursing professionals

Objective:

to evaluate the association of Metabolic Syndrome and its components among Primary Health Care Nursing professionals in the state of Bahia, Brazil, according to professional category.

Method:

a cross-sectional, population-based and multicenter study conducted with 1,125 Nursing professionals. The independent variable was the professional category, dichotomized into technical and higher education levels. The outcome was Metabolic Syndrome following criteria from the National Cholesterol Education Program Adult Treatment Panel III based on anthropometric measurements and blood samples. The statistical analysis was performed by calculating the prevalence ratios and using Pearson’s Chi-square test.

Results:

the prevalence of Metabolic Syndrome was higher in the technical level category (PR=1.64; CI=1.29 - 2.06; p≤0.01). When compared to Nurses, these professionals were older, had lower incomes, worked more on duty and performed less physical activity on a regular basis. Among the Nurses, the most prevalent component was altered cholesterol (40.5%) and among the Nursing Technicians/Assistants, it was abdominal obesity (47.3%).

Conclusion:

the association between the Nursing category and Metabolic Syndrome was evident, with higher occurrence among technical level professionals.