Association Between Socioeconomic Determinants and the Metabolic Syndrome in the German Health Interview and Examination Survey for Adults (DEGS1) - A Mediation Analysis

Social determinants of health and metabolic syndrome in Colombian older adults

BACKGROUND AND AIMS

Social determinants of health (SDH) are critical in health outcomes. More insight is needed on the correlation between SDH and metabolic syndrome (MetS) in the aging population. This study assessed the association between SDH and MetS scores among older adults in Colombia.

METHODS AND RESULTS

This cross-sectional country-wide study includes a sample of 4085 adults aged ≥60 from the SABE Colombia Survey. MetS measurements were central obesity, hyperglycemia or diabetes, hypertriglyceridemia, arterial hypertension, and low HDL cholesterol (MetS score 0-5). SDH includes four levels: 1- general socioeconomic and environmental conditions; 2-social and community networks; 3- individual lifestyle; and 4-constitutional factors. In multivariate linear regression analysis, the SDH factors with greater effect sizes, calculated by Eta Squared, predicting higher MetS mean scores were women followed by low education, no alcohol intake, urban origin, and residing in unsafe neighborhoods. Two interactions: men, but not women, have lower MetS in safe neighborhoods compared to unsafe, and men, but not women, have lower MetS when having low education (0-5 years) compared to high (≥6).

CONCLUSION

Gender, education, alcohol intake, and origin have the greatest effect sizes on MetS. Education level and neighborhood safety modified the relationship between gender and MetS. Low-educated men or those residing in safe neighborhoods have lower MetS. Neighborhood environments and educational differences influencing MetS should be considered in future studies.

Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Introduction

Metabolic syndrome (MetS) is a prevalent metabolic disorder with increasing prevalence attributed to extended life expectancy. This study aims to investigate MetS prevalence and its determinants in the East-Azerbaijan population.

Methods

Conducted as a cross-sectional study within the East Azerbaijan region, this research is based on a major Lifestyle Promotion Project. The study encompasses 700 participants aged 15 to 65 years, representing the general population and selected using probability proportional to size multistage stratified cluster sampling. MetS diagnoses were conducted using the adult Panel III criteria. Data on socio-demographics, smoking status, and physical activity levels were collected through questionnaires.

Results

Among participants, the mean age was 42.4±12.38 years, and the mean body mass index was 27.69±4.94 kg/m2. The MetS group exhibited higher mean age and body mass index compared to the non-MetS group (P<0.001). The prevalence of MetS in the population was 34.2%, with higher rates in females (37.1%) compared to males (30.5%), though this difference wasn't statistically significant (P=0.11). Notably, a substantial distinction was observed between the two groups regarding education levels (P<0.001).

Conclusion

The study reveals a significant association between increasing age and higher prevalence of MetS. Furthermore, lower educational levels were linked to an elevated prevalence of MetS. While other socio-demographic factors didn't demonstrate statistically significant relationships, these findings emphasize the importance of targeted interventions and education in mitigating MetS risks.

Association of socioeconomic status with metabolic syndrome and its components among adult population: a community-based cross-sectional study in Nanjing Municipality of China

OBJECTIVES

To investigate the association of metabolic syndrome (MetS) and its components with socioeconomic status (SES) among general and gender-specific adult population in Nanjing municipality, China.

DESIGN

Cross-sectional study.

PARTICIPANTS

13287 participants completed the survey. A participant: (1) must be a local registered resident, (2) aged 18+ years, (3) had no literal or physical/mental problems and (4) was not pregnant.

STUDY MEASURES

MetS was the outcome variable, which was defined based on the diagnostic criteria released by the Chinese Diabetes Society. SES was the main explanatory measure, which was indicated with educational attainment and family average income (FAI), separately.

RESULTS

The prevalence of MetS was 19.7% (95% CI=19.0% to 20.4%) among overall participants, and 24.6% (95% CI=23.5% to 25.6%) and 15.5% (95% CI=14.7% to 16.4%) for men and women, respectively. After controlling for potential confounders, participants with either college level (OR=0.51, 95% CI=0.43 to 0.60) or high school level education (OR=0.78, 95% CI=0.70 to 0.90) were at lower odds to experience MetS compared with those with primary education, while only those within upper FAI tertile were at significantly lower risk of MetS relative to their counterparts within lower FAI category (OR=0.85, 95% CI=0.76 to 0.97) among overall participants. Meanwhile, with respect to the five components of MetS, higher educational level predicted lower waist circumference (WC), triglycerides, systolic blood pressure (SBP) and diastolic blood pressure (DBP) and fasting glucose concentration among all participants. And higher FAI was associated with lower WC and SBP and DBP in women, and with lower SBP and DBP in men.

CONCLUSIONS

Education and FAI each were inversely associated with MetS and its components at the present stage of economic development in Nanjing Municipality of China. It has important public health implications that the tailored prevention strategies for MetS should be put into consideration of the intervention of MetS components and subgroups of people with different SES.

Predictors of Prostate Cancer at Fusion Biopsy: The Role of Positive Family History, Hypertension, Diabetes, and Body Mass Index

BACKGROUND

PSA density and an elevated PI-RADS score are among the strongest predictors of prostate cancer (PCa) in a fusion biopsy. Positive family history, hypertension, diabetes, and obesity have also been associated with the risk of developing PCa. We aim to identify predictors of the prostate cancer detection rate (CDR) in a series of patients undergoing a fusion biopsy.

METHODS

We retrospectively evaluated 736 consecutive patients who underwent an elastic fusion biopsy from 2020 to 2022. Targeted biopsies (2-4 cores per MRI target) were followed by systematic mapping (10-12 cores). Clinically significant PCa (csPCa) was defined as ISUP score ≥ 2. Uni- and multi-variable logistic regression analyses were performed to identify predictors of CDR among age, body mass index (BMI), hypertension, diabetes, positive family history, PSA, a positive digital rectal examination (DRE), PSA density ≥ 0.15, previous negative biopsy status, PI-RADS score, and size of MRI lesion.

RESULTS

The median patients' age was 71 years, and median PSA was 6.6 ng/mL. A total of 20% of patients had a positive digital rectal examination. Suspicious lesions in mpMRI were scored as 3, 4, and 5 in 14.9%, 55.0%, and 17.5% of cases, respectively. The CDR was 63.2% for all cancers and 58.7% for csPCa. Only age (OR 1.04, p < 0.001), a positive DRE (OR 1.75, p = 0.04), PSA density (OR 2.68, p < 0.001), and elevated PI-RADS score (OR 4.02, p = 0.003) were significant predictors of the CDR in the multivariable analysis for overall PCa. The same associations were found for csPCa. The size of an MRI lesion was associated with the CDR only in uni-variable analysis (OR 1.07, p < 0.001). BMI, hypertension, diabetes, and a positive family history were not predictors of PCa.

CONCLUSIONS

In a series of patients selected for a fusion biopsy, positive family history, hypertension, diabetes, or BMI are not predictors of PCa detection. PSA-density and PI-RADS score are confirmed to be strong predictors of the CDR.

Metabolic health disparities driven by financial stress: Behavioural adaptation or modification?

Financial stress has been linked to an increased risk of metabolic syndrome, yet, it remains unclear whether suboptimal sleep duration and physical inactivity are the adaptive responses to financial stress or effect modifiers in the association between financial stress and metabolic syndrome. Hence, this study aims to examine whether physical activity and sleep duration mediate or moderate the bivariate association between financial stress and metabolic syndrome. A prospective secondary analysis was conducted using data from the Wisconsin Sleep Cohort Study (N = 445, mean [SD] age = 64 [7] years). Baseline moderation effect was examined using subgroup analysis with model constraints; prospective mediation model was examined using bias-corrected bootstrap confidence intervals. Results indicate that participants with higher financial stress were less likely to meet physical activity and sleep recommendations. Baseline moderation analysis indicates that meeting current recommendations of sleep duration and physical activity attenuated the association between financial stress and metabolic syndrome. In the prospective mediation analysis, weekly physical activity levels partially mediated the relationship between financial stress and metabolic syndrome, but sleep duration did not mediate this relationship. In conclusion, the joint effect of optimal sleep duration and physical activity disassociates financial stress from the risk of metabolic syndrome. Future interventions addressing metabolic risk might achieve better outcomes if clinicians and researchers factor in the behavioral adaptation of physical inactivity in financially stressed adults (Clinical Trial Registration: NCT00005557).

Education differences in cardiometabolic risk in England, Scotland and the United States between 1992 and 2019

BACKGROUND

Education differences in cardiometabolic risk and disease still play a major role in the magnitude of the socioeconomic health disparities in high-income societies. However, the knowledge on how education differences may have changed over time regarding the distribution of multiple risk factors is rather limited. This study aims to provide a comprehensive assessment of the magnitude of those differences in three high-income countries.

METHODS

Data from repeated cross-sectional population health and examination surveys conducted between 1992 and 2019 in England, Scotland and the United States are analysed (pooled sample size [Formula: see text]). Six cardiometabolic risk factors, namely, systolic and diastolic blood pressure, body-mass-index, glycated haemoglobin HbA1c, serum total cholesterol and the cardiovascular risk score are analysed with linear mixed models.

RESULTS

Education differences in cardiometabolic risk were found to have either increased or remained stable for the past 3 decades in the countries included in the analyses. Among individuals with no qualification the cardiometabolic risk has been higher than among the higher educated (mean difference: 0.136, 99% CI [0.119; 0.152]). Education differences were observed also for systolic blood pressure (2.788 mmHg, 99% CI [2.529; 3.047]), glycated haemoglobin HbA1c (0.160 %, 99% CI [0.136; 0.185]), total cholesterol (0.268 mmol/L, 99% CI [0.247; 0.289]) and body-mass-index (0.591 kg/m2, 99% CI [0.504; 0.679]).

CONCLUSION

The results suggest a more complex pattern of associations between education and health which may be due to education-dependent processes related to behavioural, cognitive and attitudinal modification and adaptation to changing socio-cultural conditions.

Towards harnessing the value of organokine crosstalk to predict the risk for cardiovascular disease in non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Importantly, NAFLD increases the risk for cardiovascular disease (CVD). A causal relationship has been substantiated. Given the pandemic proportions of NAFLD, a reliable scoring system for predicting the risk of NAFLD-associated CVD is an urgent medical need. We here review cumulative evidence suggesting that systemically released organokines - especially certain adipokines, hepatokines, and cardiokines - may serve this purpose. The underlying rationale is that these signalers directly communicate between white adipose tissue, liver, and heart as key players in the pathogenesis of NAFLD and resultant CVD events. Moreover, evidence suggests that these organ-specific cytokines are secreted in a biologically predetermined, cascade-like pattern. Consequently, upon pinpointing organokines of relevance, we sketch requirements to establish an algorithm predictive of the CVD risk in patients with NAFLD. Such an algorithm, as to be consolidated in the form of an applicable equation, may be improved continuously by machine learning. To the best of our knowledge, such an option has not yet been considered. Establishing and implementing a reliable algorithm for determining the NAFLD-associated CVD risk has the potential to save many NAFLD patients from life-threatening CVD events.

Comparative Characteristics of the Metabolic Syndrome Prevalence in Patients With Schizophrenia in Three Western Siberia Psychiatric Hospitals

Objective: The purpose of this study was to compare the prevalence of MetS and the associated sociodemographic, clinical, and pharmacotherapeutic characteristics of patients with schizophrenia in three psychiatric hospitals in the West Siberian region. Methods: Patients with a clinical diagnosis of schizophrenia (ICD-10: F20) and an age between 18 and 60 years were included in the study after giving informed consent. Metabolic syndrome was diagnosed according to the International Diabetes Federation criteria. This research was carried out at three Western Siberian psychiatric hospitals in Kemerovo, Tomsk, and Omsk. The study population included respectively 94, 131, and 91 inpatients with schizophrenia. We carried out schizophrenia symptoms assessment by PANSS, antipsychotic therapy evaluation, anthropometry, and biochemical analysis. Statistical Analysis included the Shapiro-Wilk test, non-parametric Kruskal-Wallis H-test for independent samples, Mann-Whitney U-test for independent samples, the chi-square test, stepwise multiple regression analyses. The level of significance was p < 0.05. Results: The metabolic syndrome prevalence was higher among patients in Tomsk (36.6%), compared with Kemerovo (20.2%, p = 0.008) or Omsk (18.7%, p = 0.004), mainly due to the high prevalence of abdominal obesity, while men from Tomsk were more susceptible to this condition than men from other regions (p < 0.05). Patients from Omsk had the highest severity schizophrenia symptoms according to PANSS, and patients from Tomsk had the lowest severity of positive symptoms according to PANSS. Patients from Tomsk had the minimum duration of antipsychotic therapy compared with the patient from Kemerovo (p = 0.017) and from Omsk (p = 0.000019), but most patients from Tomsk received second-generation atypical antipsychotics, while patients from Omsk received mainly conventional antipsychotics (p = 0.0001). Multiple regression analysis showed that metabolic syndrome associated with schizophrenia duration and body mass index, although the association was not so strong (adjusted R ² = 0.2435, p < 0.0001). Discussion: The study illustrates that in different psychiatric hospitals within the same region, the prevalence of metabolic syndrome in patients with schizophrenia can vary significantly, which dictates the need to look for opportunities to minimize the risk of its occurrence, taking into account the experience of each hospital.

Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses' Health Study

Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.

Prevalence of obesity, metabolic syndrome, diabetes and risk of cardiovascular disease in a psychiatric inpatient sample: results of the Metabolism in Psychiatry (MiP) Study

The information on prevalence of obesity, diabetes, metabolic syndrome (MetS) and cardiovascular risk (CVR) and on sociodemographic variables available in patients with psychiatric diseases about to be treated with weight gain-associated medication (e.g., clozapine, mirtazapine, quetiapine) is limited. In a naturalistic study, psychiatric inpatients (age: 18-75) of all F diagnoses according to ICD-10, who were about to be treated with weight gain-associated medication, were included. Demographic variables were assessed as well as biological parameters to calculate the Body Mass Index (BMI), MetS, diabetes and CVR. A total of 163 inpatients were included (60.1% male; mean age: 39.8 (± 15.1, 18-75 years). The three most common disorders were depression (46.0%), bipolar disorder (20.9%) and drug addiction (20.2%). The three most common pharmacotherapeutic agents prescribed were quetiapine (29.4%), mirtazapine (20.9%) and risperidone (12.9%). Of the included inpatients 30.1% were overweight, 17.2% obese, and 26.9% and 22.4% fulfilled the criteria for a MetS according to the International Diabetes Federation (IDF) and the National Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (NCEP ATP III), respectively, 3.8% had (pre)diabetes and 8.3% had a moderate and 1.9% a high CVR according to the Prospective Cardiovascular Münster (PROCAM) score. Detailed information is reported on all assessed parameters as well as on subgroup analyses concerning sociodemographic variables. The results suggest that psychiatric patients suffer from multiple metabolic disturbances in comparison to the general population. Monitoring weight, waist circumference, blood pressure and cholesterol regularly is, therefore, highly relevant.

Gender-differences in predictors for time to metabolic syndrome resolution: A secondary analysis of a randomized controlled trial study

Understanding gender differences in health-related behaviors and their impacts is a crucial aspect of effective primary care. We studied gender-based differences in predictors of metabolic syndrome (MetS) resolution among newly diagnosed MetS patients. This study was a secondary analysis of a prospective clinical trial study comprising of 637 middle-aged and older adults (226 men and 411 women) who underwent a regular health checkup and were newly diagnosed with MetS at 16 different health clinics of 14 metropolitan cities and provinces. We conducted Cox proportional hazard analysis to estimate cumulative probability of MetS resolution within a 12‐month observation period. Among the 637 patients, 47.6% of participants achieved MetS resolution. The resolution rate was similar among men and women (44.7% and 49.1%, respectively, P = 0.320). Low household income (Hazard ratio = 2.62, 95% confidence interval: 1.13–6.08) and current employment (2.29, 1.26–4.13) were associated with a higher cumulative probability of MetS resolution in men than in women. For women, however, longer sleeping hours (1.18, 1.04–1.34) and living with a partner (1.58, 1.06–2.35) were positive predictors of MetS resolution. Being overweight (0.63, 0.44–0.89) was associated with lower cumulative probability of MetS resolution in women than in men. The factors associated with cumulative probability of MetS resolution within the 12-month follow-up were different between men and women. These findings facilitate further exploration on gender-based differences in risk factors for less optimal improvements in MetS.

The impact of educational attainment on cardiorespiratory fitness and metabolic syndrome in Korean adults

The aim of this study was to evaluate the relationship between educational attainment and cardiorespiratory fitness (CRF) as a predictor of metabolic syndrome in a Korean population.In this single-center, retrospective cross-sectional study, 988 healthy adults (601 men and 387 women) who underwent regular health check-up in Seoul St. Mary's Hospital were analyzed. Educational attainment was categorized into 3 groups according to their final grade of educational course: middle or high school (≤12 years of education), college or university (12-16 years of education), and postgraduate (≥16 years of education). CRF was assessed by cardiopulmonary exercise testing, biceps strength, hand grip strength, bioelectrical impedance analysis, and echocardiography. Metabolic syndrome was diagnosed according to the 3rd report of the National Cholesterol Education Program.Among the subjects, 357 (36.1%) had metabolic syndrome. The postgraduate group had significantly higher peak oxygen consumption (VO2), biceps strength, hand grip strength, and peak expiratory flow than other groups (all P < .001). This group showed better left ventricular diastolic function, in terms of deceleration time of mitral inflow, maximal tricuspid valve regurgitation velocity, and left atrial volume index than other groups. Peak VO2 (%) was significantly correlated with all the parameters of metabolic syndrome, including insulin resistance (r = -0.106, P = .002), waist circumference (r = -0.387, P < .001), triglyceride (r = -0.109, P = .001), high density lipoprotein-cholesterol (r = 0.219, P < .001), systolic blood pressure (r = -0.143, P < .001), and diastolic blood pressure (r = -0.177, P < .001). And Peak VO2 (%) was found to be a predictor of metabolic syndrome (adjusted β = .988, P < .001). However, the level of education was not able to predict metabolic syndrome (postgraduate group; β = .955, P = .801).Although the postgraduate group had better CRF than other groups, the educational attainment could not exclusively predict metabolic syndrome in this study. Further research is needed to reveal the socioeconomic mechanism of developing metabolic syndrome.

Severe insomnia is associated with metabolic syndrome in women over 50 years with major depression treated in psychiatry settings: a METADAP report

INTRODUCTION

Major depression is associated with metabolic syndrome and cardiovascular risk. We have previously shown that severe insomnia, a core symptom of major depression episode (MDE), is associated with hypertriglyceridemia, a component of metabolic syndrome, in women but not in men with major depression. Since insomnia is related to cardiovascular morbidity in the general population and major depression also, our objective was to assess the link between insomnia and metabolic syndrome, a marker syndrome of cardiovascular risk, during MDE, in women and in men.

METHODS

In 624 patients with a current MDE cohort, both insomnia and metabolic syndrome were assessed in women and men. Insomnia was rated from 0 to 6 based on the HDRS corresponding items, severe insomnia being defined by a total insomnia score ≥4.

RESULTS

severe insomnia was associated with metabolic syndrome in women but not in men. In multivariate logistic regressions, these results in women were independent from age, educational level, major depressive disorder duration and current smoking. These results were only significant in women aged ≥50 years, a cut-off age for menopausal status but not in women under 50 years.

CONCLUSION

Women aged ≥50 years with a severe insomnia during MDE have an increased risk of metabolic syndrome. Severe insomnia may be a clinical marker of metabolic risk in this population. They should be particularly monitored for metabolic syndrome and may benefit from sleep recommendations and cardiovascular prevention.

Fruit and vegetable consumption and the metabolic syndrome: a systematic review and dose-response meta-analysis

A systematic review and meta-analysis of observational studies were performed to assess the dose-response associations between fruit or vegetable consumption and the chance of the metabolic syndrome (MetS). Studies on the association between fruit or vegetable consumption and the risk of the MetS published from January 1958 to 30 October 2018 were searched using the PubMed, MEDLINE and Embase databases, and the references of relevant articles were reviewed. Random-effects models were used to estimate the summary OR with 95 % CI for the MetS, and dose-response analysis was conducted to quantify the associations. Heterogeneity among studies was evaluated using Q and I2 statistics. A total of nine observational studies (seven cross-sectional studies and two cohort studies) were included in the meta-analysis. In a dose-response analysis of cohort studies and cross-sectional studies, the summary estimate of the MetS for an increase of 100 g/d in fruit consumption (nine studies) was 0·97 (95 % CI 0·95, 0·99; I2 = 26·7 %), whereas an increase of 100 g/d in vegetable consumption (nine studies) was not associated with a reduction in the MetS (OR 0·98; 95 % CI 0·96, 1·01; I2 = 54·6 %). In conclusion, an increased intake of fruit may reduce the risk of the MetS. For future research, prospective studies or randomised clinical trials are needed to identify the effects of fruits and vegetables by variety on the risk of the MetS.