Prevalence of metabolic syndrome and associated risk factors among geriatric population living in a high altitude region of rural Uttarakhand, India

Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCD Plus clinics: multilevel analysis

BACKGROUND

Metabolic syndrome (MetS) in older adults with hypertension, diabetes, and hyperlipidemia increases the risks of cardiovascular diseases by 2.5 times and type 2 diabetes by five times. This study aimed to explain the multilevel relationships between health service system factors and individual-level factors influencing the control of MetS among older adults with NCDs receiving health care services at the NCD Plus clinics of hospitals in 1 year.

METHODS

This cross-sectional analytical study employed a systematic sampling method to have two groups of samples from 4 regions of Thailand: (1) 600 older adults having at least one diagnosis of NCDs receiving services at NCD Plus clinics and (2) 12 nurses in charge of the NCD Plus clinics at the hospitals providing services to these patient samples. Data were analyzed using multilevel logistic regression analysis.

RESULTS

24% of older adults with NCDs can control MetS within one year. The MetS escalation from the initial assessment to 1-year follow-up varied according to the level of the hospitals. The transition from MetS to non-MetS status was rare in older adults with NCDs. Among health service system factors, complete screening for MetS influenced 1-year MetS control (95% CI [1.06, 2.92]). Older adults who were female and who had polypharmacy had a 66% (95% CI [0.22, 0.53]) and a 54% (95% CI [0.29 - 0.71]) reduction chance in MetS control. Older adults, who were ≥ 80 years old, labor-employed, healthy dietary patterns, and medication adherence increased chances of controlling MetS by 2.38 times (95% CI [1.12, 5.05]), 2.14 times (95% CI [1.03, 4.42]), 1.61 times (95% CI [1.06-2.46]), and 3.18 times (95% CI [1.51, 6.70]), respectively.

CONCLUSIONS

NCDs Plus clinics that provide complete screening for MetS significantly enhance their effectiveness in reducing the proportion of older adults with MetS. In addition, the service should pay attention to older adults who are female, are retired, and take multiple medications to achieve MetS control better. The insights gained from such an analysis could be instrumental in pinpointing the resources necessary to bolster the efficacy of NCD Plus clinics.

Prevalence and influencing factors of metabolic syndrome among rural adult population in a district of South India

Background

Metabolic syndrome has increased globally due to sedentary lifestyles, unhealthy diets and obesity, which is posing a substantial burden on healthcare systems. Understanding the determinants of metabolic syndrome like lifestyle factors, socioeconomic status and the environment are vital for devising effective prevention and management. Research into these determinants helps to identify high-risk populations and develop interventions to reduce its occurrence.

Objectives

i. To estimate the prevalence of metabolic syndrome among the adult population. ii. To determine the factors associated with metabolic syndrome among the adult population.

Methodology

A cross-sectional study was carried out among 410 adults (≥18 years). A semi-structured questionnaire was used to collect data and National Cholesterol Education Program's Adult Treatment Panel III criteria was used to diagnose metabolic syndrome. Continuous and categorical data were represented as mean and proportion, respectively. The strength of the association was determined using the prevalence ratio and adjusted prevalence ratio.

Results

The mean age of the participants was 44.97 ± 14.7, about 58.3% of them were females. Metabolic syndrome prevalence was 39.8%. Multivariate regression analysis demonstrated that being over 40 years old, marital status, higher socioeconomic status, skilled workers, physical inactivity and obesity were independently linked to metabolic syndrome.

Conclusions

The burden can be reduced by identifying the risk factors at the early stage through screening and by adopting a healthy lifestyle.

Neuroprotection in metabolic syndrome by environmental enrichment. A lifespan perspective

Metabolic syndrome (MetS) is defined by the concurrence of different metabolic conditions: obesity, hypertension, dyslipidemia, and hyperglycemia. Its incidence has been increasingly rising over the past decades and has become a global health problem. MetS has deleterious consequences on the central nervous system (CNS) and neurological development. MetS can last several years or be lifelong, affecting the CNS in different ways and treatments can help manage condition, though there is no known cure. The early childhood years are extremely important in neurodevelopment, which extends beyond, encompassing a lifetime. Neuroplastic changes take place all life through - childhood, adolescence, adulthood, and old age - are highly sensitive to environmental input. Environmental factors have an important role in the etiopathogenesis and treatment of MetS, so environmental enrichment (EE) stands as a promising non-invasive therapeutic approach. While the EE paradigm has been designed for animal housing, its principles can be and actually are applied in cognitive, sensory, social, and physical stimulation programs for humans. Here, we briefly review the central milestones in neurodevelopment at each life stage, along with the research studies carried out on how MetS affects neurodevelopment at each life stage and the contributions that EE models can provide to improve health over the lifespan.

Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India

Metabolic Syndrome (MetSyn) is a predictor of cardiovascular disease (CVD). About a third of urban Indians suffer from MetSyn. This study examined the prevalence of MetSyn among women living in urban slums. A cross-sectional survey was carried out between October 2017 and May 2018 among a non-probability sample of slum-dwelling women, 40-64 years of age, in six government-designated slums in Mysore, India. Data were collected on demographics, diet, behavioral risks, anthropometry, blood pressure, serum glucose, hemoglobin A1c, and serum lipids. The study used a definition of MetSyn from the International Diabetes Federation Task Force on Epidemiology and Prevention with an HbA1c measure for average blood glucose. About two-fifths of the 607 participants had MetSyn (41.5%; 95% CI: 37.7-45.5). Of those, 40.9% met three criteria, 38.1% four, and 25.0%, all five criteria. Elevated BP was the most prevalent MetSyn factor (79.6%), followed by increased waist circumference (54.5%), low HDL (50.1%), elevated Hb A1c (37.1%), and elevated triglycerides (36.1%). Odds for MetSyn were 1.52 times greater for those who were 50-59 years of age compared with those 40-49 years of age (adjusted odds ratio[AOR]:1.52; 95% CI:0.96-2.40). Women with mobility issues had 1.29 times higher odds of MetSyn than those without it (AOR: 0.76, 95% CI: 0.96, 1.75). Housewives had 1.29 times greater odds of MetSyn (AOR: 1.29, 95% CI: 1.00, 1.67). There is a high prevalence of MetSyn among urban slum-dwelling women in Mysore. There is a need for interventions aimed at reducing CVD risk factors in this population.

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.

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.

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

OBJECTIVE

This review was done to determine the prevalence of metabolic syndrome (MS) among adult general population in India. We also wanted to find the gender, setting, and region-wide distribution of MS in India.

METHODS

We conducted systematic searches in various databases including Medline, ScienceDirect, Cochrane library and Google Scholar from inception until August 2019. We included studies conducted in India reporting the prevalence of MS among adults aged 18 years or more. We used the Newcastle Ottawa scale to assess the quality of included studies. We carried out a meta-analysis with random-effects model and reported pooled prevalence with 95% confidence intervals (CIs). We used the Funnel plot to assess publication biases.

RESULTS

In total, we analysed 113 data from 111 studies with 133,926 participants. Majority of the included studies (76 out of 111) had low risk of bias. We found significant heterogeneity among the included studies (p<0.001). We also found a symmetrical funnel plot indicating an absence of publication bias. The prevalence of MS among adult population in India was 30% (95%CI: 28%-33%). There was a steady increase in the burden across the age groups from 13% (18-29 years group) to 50% (50-59 years). We also found that people living in urban areas (32%; 95%CI: 29%-36%) had higher prevalence when compared to tribal (28%; 95%CI: 21%-36%) or rural adults (22%; 95%CI: 20%-25%). Gender distribution of MS showed that the females had higher prevalence (35%; 95%CI: 31%-38%) when compared to males 26% (95%CI: 22%-29%).

CONCLUSION

Almost one in three adults in India suffer from MS. Females, people living in urban areas and in northeast region had higher prevalence of MS. Development and implementation of policies and protocols for the screening of MS would enable us in early diagnosis and treatment with special focus towards the vulnerable and high-risk groups.

Role of Helicobacter pylori infection in the manifestation of old age-related diseases

Helicobacter pylori is one of the most prevalent infection worldwide. It affects individuals of different age groups. Elderly people tend to resist eradication treatment and worsening of infection can lead to several gastric and non-gastric pathologies. Aging-associated cellular and molecular alteration can increase the risk of other pathologies such as osteoporosis, Alzheimer's disease, Parkinson's disease, respiratory and renal dysfunction, and cancer in geriatric patients, more than other age groups. This review article highlights some of the most common old age diseases and the role of H. pylori infection as a risk factor to worsen the conditions, presented by the molecular evidences of these associations. These studies can help clinicians to understand the underlying pathogenesis of the disease and identify high-risk patients, aiding clearer diagnosis and treatment.

Association of tobacco and alcohol consumption with cardiovascular risk factors among elderly population in India

Introduction:

The present study was conducted to assess the association of tobacco and alcohol consumption with cardiovascular risk factors among elderly population living at high altitude regions of India.

Materials and Methods:

A cross-sectional study was conducted among 1003 elderly people living in district Nainital, Uttarakhand state, India. Thirty subjects were identified from 30 villages using population proportionate to size sampling methodology. The data on the consumption of tobacco and alcohol, mini nutritional assessment, Barthel activities of daily living scale, height, weight, blood pressure, fasting blood sugar, triglycerides, and total cholesterol was collected.

Results:

We found that smoking tobacco was associated with high cholesterol, lower body mass index, and low nutritional status (all, P < 0.05). Elderly subjects who consumed alcohol had 1.56 times higher risk of having high fasting blood glucose.

Conclusions:

Consumption of tobacco and alcohol increased the risk of cardiovascular diseases among elderly subjects. There is a need to improve these modifiable health behaviors through targeted educational and rehabilitation programs.

Metabolic syndrome: The Indian public health perspective

Metabolic Syndrome (MetS) is a clustering of specific risk factors, namely, central obesity, raised blood pressure, impaired fasting glucose, raised triglycerides, and low levels of high-density lipoprotein-cholesterol (HDL-C). This constellation is triggered by insulin resistance and its resultant hyperinsulinemia. The two most important and universally agreed causes of insulin resistance are increased body fat (particularly central obesity) and physical inactivity. Other causes include certain genetic/pro-genetic factors, unhealthy atherogenic diet, tobacco use, and excessive alcohol intake. Within 3 decades of the initial description of MetS by Reaven, various defining criteria have been developed by now, by leading international professional bodies, the most commonly used being the one given by the Adult Treatment Panel III (ATP III) report of the National Cholesterol Education Program (NCEP) [NCEP-ATP-III], the updated guidelines recently released by the American College of Cardiology (ACC) and the American Heart Association (AHA). MetS has been well documented to increase the risk of ischemic heart disease (IHD) by two to three times and of type 2 diabetes mellitus (T2DM) by five times. The world-wide prevalence is on the increase, with the overall global prevalence estimated to be 20%-25% of the adult population. In our country, various epidemiological studies undertaken across the country have consistently shown a high prevalence, which is likely to be as much as one-quarter of the adult population, with increasing age and female gender being at higher risk. The occurrence has also been recorded among the Armed Forces personnel as well as in adolescents. MetS has therefore become a priority issue for both, the public health providers as well as for the clinicians in our country, and needs concerted, all-round efforts for its prevention, early detection, management, and research. Against this background, the various public health measures for prevention and control of MetS have been suggested in this review.

Diabetes in the Kokan region of India

BACKGROUND

BKL Walawalkar Hospital is situated near the village of Dervan in the Kokan region of the state of Maharashtra in India. A survey of 2200 surrounding villages showed 51.8% adults had body mass index (BMI) below <18.5 kg/m² and only 4.5% were overweight. A survey of 11521 adolescent girls from rural schools showed 64% prevalence of thinness. In the same region, government survey reported the prevalence of diabetes around 7%, and 70% prevalence of leanness. This reinforced the fact that the overall population of Kokan is lean. Hence, we decided to investigate body composition of diabetic people from our hospital clinic by carrying out a clinic-based case control study.

AIM

To study body composition of diabetics in a rural clinic of Kokan.

METHODS

In a case-control study, 168 type 2 diabetic patients (102 men) attending the outpatient department at a rural hospital and 144 non-diabetic controls (68 men) in the Chiplun area of the Kokan region were recruited. History of diabetes (age of onset, duration), anthropometric measurements (height, weight, waist and hip circumference) were recorded. Body composition was measured by bioimpedance using the TANITA analyzer.

RESULTS

More than 45% of diabetic subjects had a 1^st degree family history of diabetes, and more than 50% had macrovascular complications. The average BMI in diabetic subjects was 24.3 kg/m². According to World Health Organization standards, prevalence of underweight was 8% and that of normal BMI was around 50%. Underweight and normal diabetic subjects (men as well as women) had significantly lower body fat percentage, higher muscle mass percentage, lower visceral fat and lower basal metabolic rate when compared to their overweight counterparts.

CONCLUSION

The diabetic population in Kokan has near normal body composition, and BMI has considerable limitations in assessing body composition and it also lacks sensitivity for assessing risk for diabetes in this population. High prevalence of family history of diabetes may point towards genetic predisposition. Leanness is an inherent characteristic of this population and its metabolic significance needs further investigations with a larger sample size.