Risk factors for metabolic syndrome in a cohort study in a north China urban middle-aged population

Legumes and nuts intake in relation to metabolic health status, serum brain derived neurotrophic factor and adropin levels in adults

There is controversial evidence about the relationship between consumption of legumes and nuts with metabolic disturbances. The present study was undertaken to explore the association of legumes and nuts intake with metabolic health status among Iranian adults. This cross-sectional study was conducted on 527 adults (45.7% female, aged 20-65 years) chosen through a multistage cluster random-sampling approach. Dietary intakes of individuals were assessed using a validated food frequency questionnaire. Fasting blood samples were gathered to evaluate biochemical parameters. Metabolic health status of subjects was determined according to the criteria defined by Wildman. Data of covariates were collected using pre-tested procedures. The overall prevalence of metabolic unhealthy (MU) phenotype was 42.5%. After controlling all confounders, participants with highest intake of legumes and nuts had lower odds of MU status, compared with the lowest intake (OR 0.35; 95% CI 0.18-0.71). This association was stronger in normal-weight rather than overweight/obese adults and also in women rather than men. Higher consumption of legumes and nuts was additionally related to decreased odds of hyperglycemia, hypertriglyceridemia, and hypertension. A marginally inverse association was observed between legumes and nuts intake with low brain-derived neurotrophic factor (BDNF) levels, in fully-adjusted model (ORT3 vs. T1 0.50; 95% CI 0.25-1.01). Each tertile increase in legumes and nuts intake was marginally related to higher adropin levels ([Formula: see text] = 4.06; P = 0.07). In conclusion, this study demonstrated that higher intake of legumes and nuts is associated with lower chance of MU both in normal weight and overweight/obese adults. The association may be facilitated through serum BDNF and adropin.

Dairy Consumption and Risk of Metabolic Syndrome: Results from Korean Population and Meta-Analysis

Dairy consumption has been associated with decreased risk of metabolic syndrome (MetS) in previous studies, but the association may be different according to each type of dairy products and its subgroups. Thus, we conducted an updated meta-analysis of observational studies to examine the association between various dairy products and risk of MetS. The PubMed and Web of Science databases were searched for eligible studies published up to February 2021. In addition, we included unpublished results from Korea National Health and Nutrition Examination Survey, 2013-2018, including 23,319 Korean adults and the elderly. A total of 35 studies (12 cohort studies and 25 cross-sectional studies) with 398,877 subjects were included in the meta-analysis. The pooled relative risks (RR) of MetS for the highest versus lowest categories of dairy consumption was 0.80 [95% confidence interval (CI): 0.72-0.88]. For the type of dairy products, there were also significant inverse associations with milk (RR: 0.83; 95% CI: 0.78-0.89) and yogurt consumption (RR: 0.89; 95% CI: 0.83-0.95). For cheese consumption, however, no significant association was found (RR: 0.98; 95% CI: 0.86-1.11). Our findings suggest that milk and yogurt consumption is inversely associated with the risk of MetS, but not cheese consumption.

Relationship between legume consumption and metabolic syndrome: A systematic review and meta-analysis of observational studies

AIMS

The prevalence of metabolic syndrome (MetS) has been increasing in recent years. Investigation of whether consumption of legumes as a part of healthy diet could reduce the odds of MetS has led to inconsistent conclusions. Here, we performed the first meta-analysis of observational studies to analyze the association between legume consumption and prevalence of MetS.

DATA SYNTHESIS

PubMed, EMBASE, and Web of Science databases were searched to identify observational studies up to June 1, 2019. We extracted data from the studies included and performed quality assessments. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a random-effects model. Publication bias and subgroup and sensitivity analyses were also performed. We finally included four cross-sectional studies, two cohort studies, and one case-control study involving 56,028 participants. The summary OR revealed no statistically significant association between legume consumption and odds of MetS (OR = 0.93, 95% CI = 0.76-1.12, I² = 73.5%). Subgroup analysis of study characteristics and adjustment for confounding along with sensitivity analyses revealed no statistically significant differences. No evidence of publication bias was detected.

CONCLUSION

Legume consumption is not associated with the odds of MetS. These findings require validation in well-designed cohort studies and randomized clinical trials with accurate measurement of legume intake and strict control of confounders.

REGISTRATION

This study was registered with the International Prospective Register of Systematic Reviews (registration number: CRD42019131777).

The association between milk consumption and the metabolic syndrome: a cross-sectional study of the residents of Suzhou, China and a meta-analysis

The association between milk consumption and the metabolic syndrome remains inconclusive, and data from Chinese populations are scarce. We conducted a cross-sectional study to investigate the association between milk consumption and the metabolic syndrome and its components among the residents of Suzhou Industrial Park, Suzhou, China. A total of 5149 participants were included in the final analysis. A logistic regression model was applied to estimate the OR and 95 % CI for the prevalence of the metabolic syndrome and its components according to milk consumption. In addition, the results of our study were further meta-analysed with other published observational studies to quantify the association between the highest v. lowest categories of milk consumption and the metabolic syndrome and its components. There was no significant difference in the odds of having the metabolic syndrome between milk consumers and non-milk consumers (OR 0·86, 95 % CI 0·73, 1·01). However, milk consumers had lower odds of having elevated waist circumference (OR 0·78, 95 % CI 0·67, 0·92), elevated TAG (OR 0·83, 95 % CI 0·70, 0·99) and elevated blood pressure (OR 0·85, 95 % CI 0·73, 0·99). When the results were pooled together with other published studies, higher milk consumption was inversely associated with the risk of the metabolic syndrome (relative risk 0·80, 95 % CI 0·72, 0·88) and its components (except elevated fasting blood glucose); however, these results should be treated with caution as high heterogeneity was observed. In summary, the currently available evidence from observational studies suggests that higher milk consumption may be inversely associated with the metabolic syndrome.

Meat Consumption and Risk of Metabolic Syndrome: Results from the Korean Population and a Meta-Analysis of Observational Studies

Many studies have reported harmful effects of red meat or processed meat on chronic diseases including cancer and diabetes, but epidemiological evidence for metabolic syndrome is limited and remains controversial. Therefore, we performed a meta-analysis of observational studies to assess the association between various meat consumption and risk of metabolic syndrome. The PubMed and ISI Web of Science databases were searched through June 2017, and further included unpublished results from Korea National Health and Nutrition Examination Survey 2012–2015, including 8387 Korean adults. Sixteen studies were suitable for meta-analysis, which included 19,579 cases among 76,111 participants. We used a random-effects model to calculate the pooled relative risks (RR) and 95% confidence intervals (CI). The pooled RR for metabolic syndrome of the highest versus lowest category of meat intake was 1.14 (95% CI: 1.05, 1.23) for total meat, 1.33 (95% CI: 1.01, 1.74) for red meat, 1.35 (95% CI: 1.18, 1.54) for processed meat, and 0.86 (95% CI: 0.76, 0.97) for white meat. All of these associations did not differ significantly by study design and adjustment factors. Our findings indicated that total, red, and processed meat intake is positively associated with metabolic syndrome, and white meat intake is inversely associated with metabolic syndrome.

The Diabetes, Depression, and Alcohol Triad

Type 2 diabetes, depression and alcohol abuse exist in many populations as co-morbidities. These conditions contribute to worsened health status and lost productivity. Such diseases also contribute to high medical expenses and other societal costs. Diabetes, depression and alcohol abuse are individually associated with compromised financial status. Treating these combined conditions as a syndrome rather than as isolated disease states may result in improved quality of care, better health outcomes, and reduced costs to society. A conceptual model that could be used to address this triad is the Social Ecological Model in which intrapersonal, interpersonal, institutional and community factors as well as public policy are considered for their impact on outcomes. The triad of diabetes, depression and alcohol abuse may have common etiological factors such as social isolation and poverty, and such a holistic approach to the common determinants underlying all three conditions holds out the most hope to reduce both the prevalence of this unique disease triad and the associated costs to society.