Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis

Application of Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) as Metabolic Syndrome prediction tools

BACKGROUND

Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) are easy, inexpensive, and non-invasive tools that can be used to screen people for Metabolic Syndrome (Met S). The study aimed to explore the prediction abilities of IDRS and CBAC tools for Met S.

METHODS

All the people of age ≥30 years attending the selected rural health centers were screened for Met S. We used the International Diabetes Federation (IDF) criteria to diagnose the Met S. ROC curves were plotted by taking Met S as dependent variables, and IDRS and CBAC scores as independent/prediction variables. Sensitivity (SN), specificity (SP), Positive and Negative Predictive Value (PPV and NPV), Likelihood Ratio for positive and negative tests (LR+ and LR-), Accuracy, and Youden's index were calculated for different IDRS and CBAC scores cut-offs. Data were analyzed using SPSS v.23 and MedCalc v.20.111.

RESULTS

A total of 942 participants underwent the screening process. Out of them, 59 (6.4%, 95% CI: 4.90-8.12) were found to have Met S. Area Under the Curve (AUC) for IDRS in predicting Met S was 0.73 (95%CI: 0.67-0.79), with 76.3% (64.0%-85.3%) sensitivity and 54.6% (51.2%-57.8%) specificity at the cut-off of ≥60. For the CBAC score, AUC was 0.73 (95%CI: 0.66-0.79), with 84.7% (73.5%-91.7%) sensitivity and 48.8% (45.5%-52.1%) specificity at the cut-off of ≥4 (Youden's Index, 2.1). The AUCs of both parameters (IDRS and CBAC scores) were statistically significant. There was no significant difference (p = 0.833) in the AUCs of IDRS and CBAC [Difference between AUC = 0.00571].

CONCLUSION

The current study provides scientific evidence that both IDRS and CBAC have almost 73% prediction ability for Met S. Though CBAC holds relatively greater sensitivity (84.7%) than IDRS (76.3%), the difference in prediction abilities is not statistically significant. The prediction abilities of IDRS and CBAC found in this study are inadequate to qualify as Met S screening tools.

Alcohol consumption and metabolic syndrome: Clinical and epidemiological impact on liver disease

Alcohol use and metabolic syndrome are highly prevalent in the population and frequently co-exist. Both are implicated in a large range of health problems, including chronic liver disease, hepatocellular carcinoma, and liver-related outcomes (i.e. decompensation or liver transplantation). Studies have yielded mixed results regarding the effects of mild-moderate alcohol consumption on the risk of metabolic syndrome and fatty liver disease, possibly due to methodological differences. The few available prospective studies have indicated that mild-moderate alcohol use is associated with an increase in liver-related outcomes. This conclusion was substantiated by systems biology analyses suggesting that alcohol and metabolic syndrome may play a similar role in fatty liver disease, potentiating an already existing dysregulation of common vital homeostatic pathways. Alcohol and metabolic factors are independently and jointly associated with liver-related outcomes. Indeed, metabolic syndrome increases the risk of liver-related outcomes, regardless of alcohol intake. Moreover, the components of metabolic syndrome appear to have additive effects when it comes to the risk of liver-related outcomes. A number of population studies have implied that measures of central/abdominal obesity, such as the waist-to-hip ratio, can predict liver-related outcomes more accurately than BMI, including in individuals who consume harmful quantities of alcohol. Many studies even point to synergistic interactions between harmful alcohol use and many metabolic components. This accumulating evidence showing independent, combined, and modifying effects of alcohol and metabolic factors on the onset and progression of chronic liver disease highlights the multifactorial background of liver disease in the population. The available evidence suggests that more holistic approaches could be useful for risk prediction, diagnostics and treatment planning.

Efficacy of Ḥammām-i-yābis (dry bath) in metabolic syndrome: a single arm, open-labelled clinical trial

OBJECTIVES

This study intended to evaluate the efficacy of Ḥammām-i-yabis (dry bath) in metabolic syndrome as primary objective and perceived improvement and changes in quality of life as secondary objective.

METHODS

The study was designed as single arm, open-labelled, pre and post without control clinical trial comprising 30 diagnosed cases of metabolic syndrome belonging to 20-50 years of age of either sex. The enrolled patients were exposed to the dry heat of Ḥammām-i-yābis for 15 min at a temperature of 60 degree centigrade on every third day for a duration of 30 days (a total of 10 sittings). Objective parameters comprising systolic and diastolic blood pressure and waist circumference were assessed on every follow up, while other objective parameters (FBS, HDL and Serum Triglycerides) were assessed before and after the study.

RESULTS

Significant statistical difference was observed in objective parameters. Two tailed paired Student's t-test, (for pre and post) and repeated measure ANOVA (for 0, 15th and 30th day) were used to find the significance of mean change in study parameters. No significant adverse change appeared in safety parameters.

CONCLUSIONS

Ḥammām-i-yābis was found effective, safer, more feasible and less expensive regimenal modality for the patients of metabolic syndrome.

Atherogenic index of plasma, lipid accumulation and visceral adiposity in metabolic syndrome patients

Metabolic syndrome is a cluster of various clinical and biochemical abnormalities, needs early diagnosis and treatment to reduce morbidity and mortality. The present study is designed to compare Atherogenic Index of Plasma, Lipid Accumulation Product and Visceral Adiposity Index with metabolic syndrome components in patients with metabolic syndrome. The study comprises of 150 metabolic syndrome patients and 150 age and sex matched healthy controls of both genders in the age group of 20 - 65 years. Atherogenic Index of Plasma, lipid accumulation and Visceral Adiposity Index product index were calculated for all participants. Pearson Correlation was used to compareatherogenic Index of plasma, lipid accumulation and Visceral Adiposity Index product between cases and controls. The receiver operating characteristic curve (ROC) was used to compare the area under the ROC curve (AUC) of Atherogenic Index of Plasma, lipid accumulation and Visceral Adiposity Index product with metabolic syndrome. The comparisons between the BMI, WC, Atherogenic Index of Plasma ,lipid accumulation and Visceral Adiposity Index product were significantly higher in metabolic syndrome cases (p<0.001).Although the entire index were independently associated with Mets, AIP showed the highest area under the curve (0.954, 95% CI 0.929 0.978,p value p<0.0001) in identifying metabolic syndrome.

Metabolic Syndrome and Its Components: A Cross-Sectional Analysis of Its Distribution among Pre- and Post-Menopausal Women from Northern India

Aim

This study aims to determine the prevalence of Metabolic Syndrome (MS) and recognize its abnormal components in pre and postmenopausal women. We also aim to recognize the abnormal components in postmenopausal women with regard to duration since menopause.

Materials and Methods

The cross-sectional study was undertaken among pre- and post-menopausal women between 40 and 65 years. Women with MS were identified as per the modified National Cholesterol Education Program Adult Treatment Panel III.

Results

A total of 220 women were enrolled comprising 112 premenopausal and 108 postmenopausal women, the prevalence of MS among them being 33% and 51.85%, respectively. Postmenopausal status was found to be independently associated with MS when adjusted for potential confounders (adjusted odds ratios = 14.77, 95% confidence intervals: 1.77-23.33). All the components were proportionately higher in postmenopausal group, the rise in blood pressure (BP) (P = 0.003) and low high-density lipoprotein (HDL) (0.027) being statistically significant. The risk of MS, abdominal obesity, and high BP were highest in <5 years since menopause and decreased thereafter. The risk for low HDL and high triglyceride increased with the number of years since menopause, reaching the peak level in the 5-9-year group and then decreased while the risk of high fasting blood sugar increased reaching peak in the 10-14 years' group.

Conclusion

The prevalence of MS is significantly high in postmenopausal women. Screening of women in premenopausal period will give an opportunity to intervene and prevent the menace of MS in Indian women predisposed to abdominal obesity, insulin resistance, and cardiovascular adverse events.

An examination of the prevalence of metabolic syndrome in older adults in Ireland: Findings from The Irish Longitudinal Study on Ageing (TILDA)

Metabolic syndrome (MetS) consists of the cluster of central obesity, insulin resistance, hypertension and atherogenic dyslipidaemia. It is a risk factor for cardiovascular disease, diabetes, and mortality. The prevalence of MetS has not been described in older adults from a population-representative sample in a European country before. This study aimed to determine the prevalence of MetS in older adults in Ireland and examine the association between MetS and socio-demographic, health, and lifestyle factors. This study used data from a population aged ≥50 years from waves 1 and 3 of the Irish Longitudinal Study on Ageing. The prevalence of MetS using the National Cholesterol Education Program Third Adult Treatment Panel (ATPIII) and the International Diabetes Foundation (IDF) criteria were determined. Weighted logistic regression examined the association between MetS and age, sex, education, and physical activity. MetS status was determined at both waves with transitions examined. 5340 participants had complete data for MetS criteria at wave 1. 33% had MetS according to the ATPIII criteria (32.5%; 95% CI: 31.1, 34.0), with 39% according to the IDF criteria (39.3%; 95% CI: 37.8, 40.8). MetS was more prevalent with advancing age, among males, those with lower educational attainment and lower physical activity. 3609 participants had complete data for both waves– 25% of those with MetS at wave 1 did not have MetS at wave 3 but the overall number of participants with MetS increased by 19.8% (ATPIII) and 14.7% (IDF). MetS is highly prevalent in older adults in Ireland. 40% of the 1.2 million population aged ≥50 years in Ireland meet either the ATPIII or IDF criteria. Increasing age, male sex, lower educational attainment, and lower physical activity were all associated with an increased likelihood of MetS.

Higher Intake of Dairy Is Associated with Lower Cardiometabolic Risks and Metabolic Syndrome in Asian Indians

There is conflicting evidence about the association between dairy products and cardiometabolic risk (CMR). We aimed to assess the association of total dairy intake with CMR factors and to investigate the association of unfermented and fermented dairy intake with CMR in Asian Indians who are known to have greater susceptibility to type 2 diabetes and cardiovascular diseases compared to white Europeans. The study comprised 1033 Asian Indian adults with normal glucose tolerance chosen from the Chennai Urban Rural Epidemiological Study (CURES). Dietary intake was assessed using a validated open-ended semi-quantitative food frequency questionnaire. Metabolic syndrome (MS) was diagnosed based on the new harmonising criteria using central obesity, dyslipidaemia [low high-density lipoprotein cholesterol (HDL) and increased serum triglycerides (TG)], hypertension and glucose intolerance. Increased consumption of dairy (≥5 cups per day of total, ≥4 cups per day of unfermented or ≥2 cups per day of fermented dairy) was associated with a lower risk of high fasting plasma glucose (FPG) [hazards ratio (HR), 95% confidence interval (CI): 0.68, 0.48−0.96 for total dairy; 0.57, 0.34−0.94 for unfermented dairy; and 0.64, 0.46−0.90 for fermented dairy; p < 0.05 for all] compared to a low dairy intake (≤1.4 cups per day of total dairy; ≤1 cup per day of unfermented dairy; and ≤0.1 cup per day of fermented dairy). A total dairy intake of ≥5 cups per day was also protective against high blood pressure (BP) (HR: 0.65, 95% CI: 0.43−0.99, p < 0.05), low HDL (HR: 0.63, 95% CI: 0.43−0.92, p < 0.05) and MS (HR: 0.71, 95% CI: 0.51−0.98, p < 0.05) compared to an intake of ≤1.4 cups per day. A high unfermented dairy intake (≥4 cups per day) was also associated with a lower risk of high body mass index (BMI) (HR: 0.52, 95% CI: 0.31−0.88, p < 0.05) compared to a low intake (≤1 cup per day), while a reduced risk of MS was observed with a fermented dairy intake of ≥2 cups per day (HR: 0.71, 95% CI: 0.51−0.98, p < 0.05) compared to an intake of ≤0.1 cup per day. In summary, increased consumption of dairy was associated with a lower risk of MS and components of CMR.

Identifying metabolic syndrome in migrant Asian Indian adults with anthropometric and visceral fat action points

BACKGROUND

Metabolic syndrome (MetS) is a clustering of metabolic risk factors, including large waist circumference (WC). Other anthropometric parameters and visceral fat mass (VFM) predicted from these may improve MetS detection. Our aim was to assess the ability of such parameters to predict this clustering in a cross-sectional, diagnostic study.

METHOD

Participants were 82 males and 86 females, aged 20-74 years, of Asian Indian ethnicity. VFM was estimated by dual-energy X-ray absorptiometry (DXA) through identification of abdominal subcutaneous fat layer boundaries. Non-anthropometric metabolic risk factors (triglycerides, HDL cholesterol, blood pressure and glucose) were defined using MetS criteria. We estimated the ability of anthropometry and VFM to detect ≥ 2 of these factors by receiver operating characteristic (ROC) and precision-recall curves.

RESULTS

Two or more non-anthropometric metabolic risk factors were present in 45 (55%) males and 29 (34%) females. The area under the ROC curve (AUC) to predict ≥ 2 of these factors using WC was 0.67 (95% confidence interval: 0.55-0.79) in males and 0.65 (0.53-0.77) in females. Optimal WC cut-points were 92 cm for males (63% accuracy) and 79 cm for females (53% accuracy). VFM, DXA-measured sagittal diameter and suprailiac skinfold thickness yielded higher AUC point estimates (by up to 0.06), especially in females where these measures improved accuracy to 69%, 69% and 65%, respectively. Pairwise combinations that included WC further improved accuracy.

CONCLUSION

Our findings indicate that cut-points for readily obtained measures other than WC, or in combination with WC, may provide improved detection of MetS risk factor clusters.

Assessment of food environment at work and its association with cardiometabolic health among employed adults in Delhi, India

BACKGROUND AND AIMS

Unhealthy food environment at work is believed to be playing a role in the burgeoning obesity, cardiometabolic risk, diabetes and cardiovascular diseases in India. Therefore, food environment assessment at work is crucial to understand the effect of food environment and to find its association with cardiometabolic risk among adults in Delhi, India.

METHODOLOGY

Mix-methods study to find association between worksite food environment on the food choices, dietary behavior, and cardio-metabolic health of 455 apparently healthy adults (both males and females) aged 25-55 years was done in urban India.

RESULTS

Unhealthy food environment, poor eating pattern and sedentary lifestyle at work resulted in clustering of CMR factors among the study participants. Work environment assessment revealed that worksites with canteens had higher overall CHEW score for all its domains (Physical, nutritional, and information environment), in comparison to worksites without or no canteens. Four out of ten apparently healthy adults had metabolic syndrome indicating poor cardiometabolic health. The odds of CMR in subjects with access to canteen (unhealthy food) were estimated to be 0.74 (CI: 0.51 to 1.07; p = 0.11) times the odds of CMR in subjects without canteen (limited access to food). Females (β:0.34; 95% CI:0.23, 0.44; p = 0.00) had high CMR factors in comparison to males. Overall cardiometabolic risk factors increased with age (β:0.01; 95% CI:0.01,0.01; p = 0.00).

CONCLUSION

Findings of the present study urge the need for dietary and lifestyle intervention along with longitudinal studies to further disentangle the association of the food and work environment on the prevalence of CMR among adults.

Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies

INTRODUCTION

Several studies have explored the effect of anthropometric risk factors on metabolic syndrome. However, no systematic effort has explored the effect of overweight and obesity on the prevalence of metabolic syndrome in India. Thus, we undertook a meta-analysis to estimate the effect of anthropometric risk factors on the prevalence of metabolic syndrome.

METHODS

We searched databases PubMed Central, EMBASE, MEDLINE, and Cochrane library and search engines ScienceDirect and Google Scholar, from January 1964 through March 2021. We used the Newcastle-Ottawa scale to assess the quality of published studies, conducted a meta-analysis with a random-effects model, and reported pooled odds ratios (OR) with 95% CIs.

RESULTS

We analyzed 26 studies with a total of 37,965 participants. Most studies had good to satisfactory quality on the Newcastle-Ottawa scale. Participants who were overweight (pooled OR, 5.47; 95% CI, 3.70-8.09) or obese (pooled OR, 5.00; 95% CI, 3.61-6.93) had higher odds of having metabolic syndrome than those of normal or low body weight. Sensitivity analysis showed no significant variation in the magnitude or direction of outcome, indicating the lack of influence of a single study on the overall pooled estimate.

CONCLUSION

Overweight and obesity are significantly associated with metabolic syndrome. On the basis of evidence, clinicians and policy makers should implement weight reduction strategies among patients and the general population.

Rural-urban and gender differences in metabolic syndrome in the aging population from southern India: Two parallel, prospective cohort studies

BACKGROUND

Despite the growing evidence of metabolic syndrome as a major risk factor for cardiovascular and cerebrovascular disease, there are limited studies from India on its prevalence, especially in the aging population. We aimed to estimate the prevalence of metabolic syndrome and associated comorbidities in two prospective, aging cohorts from rural and urban India.

METHODS

In these two parallel, prospective, aging (≥ 45 years) cohorts, the samples included 2171 people from rural India (Srinivaspura Aging, Neuro Senescence and COGnition, SANSCOG cohort; April 23, 2018 to Sept 25, 2021) and 332 people from urban India (Tata Longitudinal Study on Aging, TLSA cohort; July 8, 2015 to Oct 23, 2021). Using cross-sectional data from baseline clinical and biochemical assessments, we calculated metabolic syndrome prevalence using two well established criteria, namely consensus criteria and National Cholesterol Education Program - Adult Treatment Panel III (NCEP-ATP III) criteria; further, rural-urban, gender, and age-wise differences were compared.

FINDINGS

Proportions of metabolic syndrome were 46.2 and 54.8% as per consensus criteria in rural and urban participants, respectively; corresponding numbers using NCEP-ATP III criteria were 40.3 and 45.1%. Rural-dwelling older adults had a significantly lesser prevalence of all individual metabolic syndrome parameters except impaired triglycerides and high-density lipoprotein levels. Rural women had a significantly higher prevalence of metabolic syndrome than rural men, whereas there was no significant difference among urban participants. We did not observe any consistent age-wise trend when comparing both cohorts. There was high burden of comorbidities among both groups, mostly undiagnosed in rural participants.

INTERPRETATION

Roughly one in two older adults had metabolic syndrome, urban significantly more than rural, reaching an alarming 63.1% among urban participants aged 65-74 years. The very high prevalence of undiagnosed co-morbidities among rural adults is extremely concerning, calling for urgent public health measures in this marginalised and health-disparate population.

FUNDING

SANSCOG study is funded through the Centre for Brain Research (CBR), Indian Institute of Science (IISc) by Pratiksha Trust, the philanthropic arm of Mr. Kris Gopalakrishnan. TLSA is funded by Tata Trusts.

Prevalence of Non-alcoholic Fatty Liver Disease in India: A Systematic Review and Meta-analysis

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) contributes to a large proportion of liver disease burden in the world. Several groups have studied the prevalence of NAFLD in the Indian population.

AIM

A systematic review of the published literature and meta-analysis was carried out to estimate the prevalence of NAFLD in the Indian population.

METHODS

English language literature published until April 2021 was searched from electronic databases. Original data published in any form which had reported NAFLD prevalence in the Indian population were included. The subgroup analysis of prevalence was done based on the age (adults or children) and risk category, i.e., average-risk group (community population, participants of control arm, unselected participants, hypothyroidic individuals, athletes, aviation crew, and army personnel) and high-risk group (obesity or overweight, diabetes mellitus, coronary artery disease, etc.). The prevalence estimates were pooled using the random-effects model. Heterogeneity was assessed with I2.

RESULTS

Sixty-two datasets (children 8 and adults 54) from 50 studies were included. The pooled prevalence of NAFLD was estimated from 2903 children and 23,581 adult participants. Among adults, the estimated pooled prevalence was 38.6% (95% CI 32-45.5). The NAFLD prevalence in average-risk and high-risk subgroups was estimated to be 28.1% (95% CI 20.8-36) and 52.8% (95% CI 46.5-59.1), respectively. The estimated NAFLD prevalence was higher in hospital-based data (40.8% [95% CI 32.6-49.3%]) than community-based data (28.2% [95% CI 16.9-41%]). Among children, the estimated pooled prevalence was 35.4% (95% CI 18.2-54.7). The prevalence among non-obese and obese children was 12.4 (95% CI 4.4-23.5) and 63.4 (95% CI 59.4-67.3), respectively.

CONCLUSION

Available data suggest that approximately one in three adults or children have NAFLD in India.

Prevalence of metabolic syndrome among the adult population in western China and the association with socioeconomic and individual factors: four cross-sectional studies

OBJECTIVES

This study explored the prevalence of and individual influencing factors for metabolic syndrome (MS) as well as associated socioeconomic factors and regional aggregation.

DESIGN

Four cross-sectional surveys were analysed for trends in MS and associations with socioeconomic and individual factors through multilevel logistic regression analyses. The risk associated with nutrient intake was also assessed through a dietary survey in 2015.

SETTING

From 2010 to 2018, 8-15 counties/districts of West China were included.

PARTICIPANTS

A total of 28 274 adults were included in the prevalence analysis. A total of 23 708 adults were used to analyse the related factors.

RESULTS

The overall prevalence of MS ranged from 21.4% to 27.8% over the 8 years, remaining basically stable within the 95% CI. Our study found that the urbanisation rate and hospital beds per 1000 people were positively associated with MS, and the number of doctors in healthcare institutions per 1000 persons was negatively associated with MS. The ORs for females, people with college education and higher and unmarried or single people were 1.49, 0.67 and 0.51, respectively (p<0.05). The ORs of people who smoked at least 20 cigarettes/day, ate more than 100 g of red meat/day, consumed fruit or vegetable juice and drank carbonated soft drinks less than weekly were 1.10, 1.16, 1.19-1.27 and 0.81-0.84, respectively. The ORs rose with increasing sedentary time and decreased with higher physical activity.

CONCLUSION

The high burden of MS, unreasonable proportions of energy and micronutrient intake and low percentage of high levels of physical activity were the major challenges to public health in western China. Improving the human resources component of medical services, such as the number of doctors, increasing the availability of public sports facilities and E-health tools and improving individual dietary quality and education might help prevent MS.

Association between the physical activity and metabolic syndrome in residents of a foot-hill area in India

BACKGROUND AND AIMS

Physical inactivity, has been linked to development of metabolic syndrome, which increases the risk of developing cardiovascular disease. Aim of the study was to assess the level of physical activity and it's association with prevalence of metabolic syndrome and oxidative stress in a semiurban foothill population of India.

METHODS

Participants (n = 288), >18 years of age were enrolled. Their demographics and clinical details were recorded. Fasting plasma glucose, triglycerides, cholesterol and erythrocyte glutathione peroxidase activity were measured. Physical activity was estimated using Global Physical Activity Questionnaire and converted into metabolic equivalent in minutes per week.

RESULTS

37.5% of study population was found to be physically active, with more males (43.3%) being active than females (23.3%). Inactivity was associated with higher triglycerides levels in males and with higher hip circumference, diastolic blood pressure, triglycerides and fasting plasma glucose in females. No significant difference was found in the oxidative stress, indicated by decreased glutathione peroxidase activity, between active and inactive persons or persons with normal and increased body mass index.

CONCLUSIONS

There is a high prevalence of physical inactivity in this region of India, with prevalence of physical inactivity higher is females as compared to males. No significant co-relation was found between the levels of activity and components of metabolic syndrome and oxidative stress in the study population.

A pilot study to determine association of parental metabolic syndrome with development of metabolic risk in Indian children, adolescents and youth with Type-1 diabetes

BACKGROUND AND AIMS

Prevalence of metabolic syndrome (MS) is increasing in children with type-1 diabetes (T1D). Genetic and environmental factors shared among family members are considered significant risk factors. We conducted this study to assess the association of parental MS with development of metabolic risk (MR) in patients with T1D.

METHOD

This cross-sectional study included 29 patients with T1D along with their parents (29 triads). Demographic data, anthropometry, blood pressure, biochemical measurements and body composition measurements were performed using standard protocols. Insulin resistance was calculated using estimated glucose disposal rate (eGDR) in patients and using HOMA-IR in their parents. MS was diagnosed using International Diabetes Federation Consensus Definition, 2017.

RESULTS

Of total study participants, 44.8% patients with T1D had MR while 25.3% of parents had MS. Low HDL was identified as the most common component of MS. 64.3% patients with T1D, who had parents with MS, had MR. The odds ratio (OR) for development of MR in patients with T1D with parents affected by MS was 4.9 (95% confidence interval 1.0-24.1) while relative risk (RR) was 2.4 (95% confidence interval 0.9-6.1). MR in patients with T1D was found to have a strong correlation with parental MS and also with development of double diabetes (DD).

CONCLUSION

In conclusion, parental MS increases the risk of development of metabolic abnormalities in patients with T1D. Thus, positive family history may serve as a useful indicator for targeted screening to detect DD.

Prevalence of metabolic syndrome and its related factors among Vietnamese people: A systematic review and meta-analysis

BACKGROUND AND AIMS

Metabolic risk factors are the leading causes of mortality and morbidity in recent decades, yet the burden of metabolic syndrome (MetS) has not been carefully assessed in Vietnam. This review thus aims to examine the prevalence of MetS and its related factors in Vietnam.

METHODS

A systematic review was conducted using literature retrieved from PubMed/Medline, Web of Science, Embase, Scopus, and Google Scholar up until July 2021. We selected descriptive and analytical studies which reported the prevalence of MetS and related factors among healthy people aged less than 65 years old rather than morbid people in Vietnam. A meta-analysis with a random-effects model was applied to estimate the pooled prevalence from the included studies.

RESULTS

Eighteen studies with 35421 participants were included in the final analysis. The pooled MetS prevalence among the adult population in Vietnam was 16.1% (95% Confidence Interval (CI): 14.1%-18.1%). Higher prevalence was seen among females (17.3%, 95% CI: 13.8%-20.8%). Low level of High Density Lipoprotein-Cholesterol (HDL-C) was the most prevalent component (34.1%), followed by high triglycerides (33.3%). Being female, living in urban areas, having obesity, and having a higher body mass index or body fat percentage were associated with an increased likelihood of having MetS.

CONCLUSIONS

MetS was common in the Vietnamese population. Low HDL-C should be considered as an early detectable indicator for MetS screening programs at the population level. Appropriate interventions should be conducted for high-risk groups such as females, those living in urban areas, and obesity.

Metabolic syndrome and underlying genetic determinants-A systematic review

The metabolic syndrome is a cluster of heritable and related traits which has been associated with a range of pathophysiological factors including dyslipidaemia, abdominal obesity, increased fasting plasma glucose (FPG) and hypertension. The documented genetic basis of the metabolic syndrome include several chromosomal positions, numerous candidate gene-associated polymorphisms, different genetic variants, which are linked to the syndrome either as a trait or entities mainly linked to metabolic process. Additionally, the latest findings related to the contribution of epigenetic mechanisms, microRNAs, sporadic variants, non-coding RNAs, and assessing the role of genes in molecular systems has enhanced our understanding of the syndrome. Considerable work has been done to understand the underlying disease mechanisms by elucidating its genetic etiology. Nonetheless, a common shared genetic cause has not been established to clarify the coexistence of their components and further investigation is required. While mostly neglected and rarely known, hereditary predisposition needs to be studied, including with the current defective phenotypic condition descriptions. Metabolic syndrome is a multi-faceted characteristic with abundant properties and the condition can arise from interactions between environmental variables such as physical inactivity, caloric obesity and genetic susceptibility. Although there is support for genetic determinants from family and twin research, there is still no recognised genomic DNA marker for genetic association and linkages with quite a long way off potential for clinical application. In the present review efforts have been made to through light on the various genetic determinants with large effects that underlie with the association of these traits to this syndrome. The heterogeneity and multifactorial heritability of MetS, however, has been a challenge towards understanding the factors underlying the association of these traits.

Rural-Urban differentials in prevalence, spectrum and determinants of Non-alcoholic Fatty Liver Disease in North Indian population

Background

Non-alcoholic fatty liver disease (NAFLD) is a spectrum of disease ranging from simple steatosis, non-alcoholic steatohepatitis (NASH), through to advanced fibrosis and cirrhosis. We assessed the prevalence, spectrum, and determinants of NAFLD among adults in urban and rural North India.

Methods

A representative sample of adults aged 30–60 years were recruited from urban Delhi and rural Ballabhgarh during 2017–2019. Participants underwent abdominal ultrasonography (USG) and vibration controlled transient elastography (VCTE) with FibroScan to assess fatty liver and fibrosis, respectively. We estimated the age- and sex-standardised prevalence of NAFLD and its spectrum. The factors associated with ‘ultrasound-diagnosed NAFLD’ were identified using multivariate logistic regression.

Results

A total of 828 urban (mean ± SD age: 45.5 ± 8.0 years; women: 52.7%) and 832 rural (mean ± SD age: 45.1 ± 7.9 years; women: 62.4%) participants were recruited. The age- and sex-standardized prevalence of ultrasound-diagnosed NAFLD was 65.7% (95%CI: 60.3–71.2) in the urban and 61.1% (55.8–66.5) in the rural areas, respectively. The prevalence of NAFLD with elevated alanine transaminase (≥40IU/L) was 23.2% (19.8–26.6), and 22.5% (19.0–26.0) and any fibrosis by liver stiffness measurement on transient elastography (≥6.9 kPa) was 16.5% (13.8–19.8) and 5.2% (3.8–6.7) in urban and rural participants, respectively. In both urban and rural areas, diabetes, central obesity and insulin resistance were significantly associated with NAFLD.

Conclusion

NAFLD prevalence was high among rural and urban North Indian adults, including fibrosis or raised hepatic enzymes. The strong association of metabolic determinants confirms its linkage with metabolic syndrome.

Association between behavioural risk factors and metabolic syndrome among adult population in India: A systematic review and meta-analysis of observational studies

AIMS

The impact of behavioural risk factors on the metabolic syndrome has not been well understood by the researchers. This information is important to the policymakers for developing effective strategies and implement relevant policies or programs. Hence, we undertook this meta-analysis to estimate the effect of behavioural risk factors on the burden of metabolic syndrome.

DATA SYNTHESIS

We conducted a search in the databases, such as PubMed Central, EMBASE, MEDLINE, and Cochrane library, and search engines, such as ScienceDirect and Google Scholar, from inception until March 2021. We used the Newcastle-Ottawa Scale (NOS) to assess the quality of published studies. We carried out a meta-analysis with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI). In total, we analysed 30 studies with 41,090 participants. The majority of the studies had good to satisfactory quality as per NOS. Physical activity had a statistically significant association with the prevalence of metabolic syndrome (pooled OR = 1.57; 95%CI: 1.28 to 1.93, I2 = 91%). However, smoking (pooled OR = 0.96; 95%CI: 0.75 to 1.23, I2 = 90.5%) and alcohol (pooled OR = 1.00; 95%CI: 0.75 to 1.33, I2 = 90.8%) did not reveal a statistically significant association with the burden of metabolic syndrome.

CONCLUSION

Physical inactivity was found to be a significant risk factor for metabolic syndrome. Given the evidence, it is important that the clinicians and policymakers are alike to recommend regular physical activity among the patients and general population.

Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India

BACKGROUND

Non-communicable diseases (NCDs) have become a major cause of morbidity and mortality in India. Perturbation of host-microbiome interactions may be a key mechanism by which lifestyle-related risk factors such as tobacco use, alcohol consumption, and physical inactivity may influence metabolic health. There is an urgent need to identify relevant dysmetabolic traits for predicting risk of metabolic disorders, such as diabetes, among susceptible Asian Indians where NCDs are a growing epidemic.

METHODS

Here, we report the first in-depth phenotypic study in which we prospectively enrolled 218 adults from urban and rural areas of Central India and used multiomic profiling to identify relationships between microbial taxa and circulating biomarkers of cardiometabolic risk. Assays included fecal microbiota analysis by 16S ribosomal RNA gene amplicon sequencing, quantification of serum short chain fatty acids by gas chromatography-mass spectrometry, and multiplex assaying of serum diabetic proteins, cytokines, chemokines, and multi-isotype antibodies. Sera was also analysed for N-glycans and immunoglobulin G Fc N-glycopeptides.

RESULTS

Multiple hallmarks of dysmetabolism were identified in urbanites and young overweight adults, the majority of whom did not have a known diagnosis of diabetes. Association analyses revealed several host-microbe and metabolic associations.

CONCLUSIONS

Host-microbe and metabolic interactions are differentially shaped by body weight and geographic status in Central Indians. Further exploration of these links may help create a molecular-level map for estimating risk of developing metabolic disorders and designing early interventions.

Metabolic syndrome and its associated factors in Ethiopia: A systematic review and meta-analysis

INTRODUCTION

Metabolic syndrome (MetS) is a common complex entity that has emerged as a worldwide epidemic and major public health concern. The incidence of MetS often parallels the incidence of obesity and it is even worst among people living with comorbidities like; HIV/AIDS, hypertension, and mental illness. Therefore, there was an urgent need to summarize the extent and risk factors of MetS in Ethiopia.

METHODOLOGY

This systematic review was conducted according to the PRISMA guideline to investigate the prevalence of MetS and contributing factors. English language-based databases (PubMed, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and Cochrane library) were exhaustively searched to identify studies related to the prevalence of MetS. A random-effects model was employed to estimate the pooled prevalence of MetS, and it was computed using STATA 16.0 software. Heterogeneity analysis was reported using I2.

RESULT

A total of 25 studies with 21,431 study participants were included for this systematic review and meta-analysis. The pooled prevalence of MetS was 30.0% (95% CI: 24.0-36.0%, I2 = 99.19%, p < 0.001) with a high degree of heterogeneity across studies. Subgroup analysis with the target population showed that metabolic syndrome was most prevalent among type II diabetic 56% (95% CI: 47 - 64) and hypertensive patients 44% (95% CI: 35 - 53). Increased age, female gender, being overweight and obese, having a high educational level and income, physical inactivity, and being on treatment of chronic diseases like, diabetes mellitus, hypertension and HIV/AIDS were the most frequently reported risk factors of MetS regardless of the study population.

CONCLUSION

The prevalence of the MetS is high and rising in Ethiopia. Therefore, the preventative strategy should be considered to reduce the risk of morbidity or mortality related to metabolic syndrome.

A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases

The impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the metabolic syndrome (MetS) was related to cardiovascular disease (CVD) during 40 years follow-up in the Uppsala Longitudinal Study of Adult Men (ULSAM, 2,123 men all aged 50 at baseline with reinvestigations at age 60, 70, 77 and 82). The strength of MetS as a risk factor of incident combined end-point of three outcomes (CVD) declined with ageing, as well as for myocardial infarction, ischemic stroke and heart failure when analysed separately. For CVD, the risk ratio declined from 2.77 (95% CI 1.90-4.05) at age 50 to 1.30 (95% CI 1.05-1.60) at age 82. In conclusion, the strength of MetS as a risk factor of incident CVD declined with age. Since MetS was significantly related to incident CVD also at old age, our findings suggest that the occurrence of MetS in the elderly should not be regarded as innocent. However, since our data were derived in an observational study, any impact of MetS in the elderly needs to be verified in a randomized clinical intervention trial.