Overweight, obesity and related non-communicable diseases in Asian Indian girls and women

Polycystic Ovary Syndrome prevalence and associated sociodemographic risk factors: a study among young adults in Delhi NCR, India

INTRODUCTION

Polycystic Ovary Syndrome (PCOS) is a prevalent yet under-researched endocrinologic disorder affecting females of reproductive age, characterized by menstrual dysfunction, infertility, hirsutism, acne, and obesity. Despite its global prevalence, with rates varying significantly among Asian communities, there is a notable lack of region-specific epidemiological data, particularly for urban areas in India. The aim of this study is to assess the prevalence of PCOS and associated sociodemographic risk factors among young adult females in Delhi and National Capital Region (NCR), India.

METHODS

This study is comprised of two components: a cross-sectional survey and a systematic review. The cross-sectional survey involved 1,164 college-going females aged 18-25 years in Delhi NCR, with data collected through a structured interview schedule assessing sociodemographic variables and PCOS symptoms. PCOS diagnosis was based on the already diagnosed cases and cases diagnosed during the study (Rotterdam criteria, 2003), through symptoms and additional assessment through ultrasonography. The systematic review analysed prevalence studies from 2010 to 2024 across India, focusing on the similar age group.

RESULTS

The study found a high 17.40% prevalence rate of PCOS among the participants, with 70.30% already diagnosed and 29.70% newly diagnosed during the study. The prevalence is significantly higher compared to the pooled prevalence of 8.41% reported in previous studies across India. Sociodemographic factors such as age (20 years and above), higher education, ancestry (East India and immigrants), and nuclear family structure were associated with increased PCOS risk. Conversely, factors like belonging to the OBC category and lower middle class were linked to reduced risk.

DISCUSSION

The high prevalence of PCOS in Delhi NCR compared to other regions highlights the need for targeted epidemiological research and intervention strategies in urban settings. The association of PCOS with modern lifestyle factors and socioeconomic status underscores the importance of addressing these determinants in managing PCOS effectively. The study contributes valuable insights into the sociodemographic dimensions of PCOS and calls for more comprehensive studies to inform public health strategies.

Possible sarcopenia, sarcopenic obesity phenotypes and their association with diabetes: Evidence from LASI wave-1 (2017-18)

AIMS

To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.

METHODS

Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes. Binary logistic regression analysis explored the association of possible sarcopenia and sarcopenic obesity phenotypes with self-reported diabetes.

RESULTS

The prevalence of possible sarcopenia and sarcopenic obesity defined by BMI was found to be 44.4 % and 10.6 %, respectively. Individuals with possible sarcopenia exhibited a 1.18 times higher likelihood of developing self-reported diabetes (p < 0.001), while those with sarcopenic obesity by BMI had significantly elevated odds (1.94, 95 % CI 1.81-2, p < 0.001) for self-reported diabetes.

CONCLUSIONS

Sarcopenia and sarcopenic obesity phenotypes may increase the risk of developing diabetes as we age. Therefore, it is imperative to formulate targeted preventive and therapeutic strategies to combat sarcopenia and diabetes among the aging population.

Identification and Management of Atherosclerotic Cardiovascular Disease Risk in South Asian Populations in the U.S

South Asians (SAs, individuals with ancestry from Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) are among the fastest growing ethnic subgroups in the United States. SAs typically experience a high prevalence of diabetes, abdominal obesity, and hypertension, among other cardiovascular disease risk factors, which are often under recognized and undermanaged. The excess coronary heart disease risk in this growing population must be critically assessed and managed with culturally appropriate preventive services. Accordingly, this scientific document prepared by a multidisciplinary group of clinicians and investigators in cardiology, internal medicine, pharmacy, and SA-centric researchers describes key characteristics of traditional and nontraditional cardiovascular disease risk factors, compares and contrasts available risk assessment tools, discusses the role of blood-based biomarkers and coronary artery calcium to enhance risk assessment and prevention strategies, and provides evidenced-based approaches and interventions that may reduce coronary heart disease disparities in this higher-risk population.

Validity of Body Image Pictogram to Determine Overweight/Obesity in Adults from Less Developed Populations: Results From Pars Cohort Study

BACKGROUND

Despite the evidence for validity of body image pictogram (BIP) to discriminate overweight, obese, and normal individuals, there is little evidence on the probable effect of socio-demographic variables on its validity. To investigate the effects of socioeconomic status (SES), age, ethnicity, and educational level on the validity of BIP to discriminate normal weight, overweight, and obese people.

METHODS

We used the Pars Cohort Study (PCS) data. Stunkard's BIP score was used as test measure. Participants were classified as normal (body mass index [BMI]<25), overweight (BMI=25 to 29.9), and obese (BMI≥29.9) based on their BMI (kg/m2 ). Area under curve (AUC) and its 95% CI were estimated and compared. Optimal cutoff points and their sensitivity, specificity, and likelihood ratio were reported.

RESULTS

A total of 9232 participants with a female/male ratio of 1.03 were included. The prevalence of overweight and obesity was 37.4% and 18.2%, respectively. Regardless of socio-demographic levels, the optimal cut-points to discriminate normal BMI from overweight, and overweight from obese participants were BIP score of four and five, respectively. Estimated AUC correlated with ethnicity (P<0.001) for both genders, and with SES for females (P<0.05).

CONCLUSION

Although BIP may be a valid measure to categorize the general adult population into normal, overweight and obese, its validity depends on SES and ethnicity. BIP may be available as a proxy measure for BMI categories in socio-demographically homogeneous populations but not in heterogeneous populations.

Shortening of leucocyte telomere length is independently correlated with high body mass index and subcutaneous obesity (predominantly truncal), in Asian Indian women with abnormal fasting glycemia

INTRODUCTION

Leucocyte telomere length (LTL) is linked to accelerate aging and premature mortality. In this research, we aimed to explore the relations between biochemical and anthropometry markers and LTL in Asian Indian women with abnormal fasting glycemia (impaired fasting glucose).

RESEARCH DESIGN AND METHODS

In this study, 797 pre-diabetic women (obese, 492; non-obese, 305) were recruited. Demographic and clinical profiles, anthropometry, and fasting blood glucose were evaluated. LTL was quantified by a quantitative PCR. LTL was expressed as the relative telomere length or telomere repeat:single copy gene (T:S) ratio. The subjects were separated into quartiles according to the LTL.

RESULTS

The average LTL was significantly decreased with increasing age. The average LTL was significantly shorter in obese women with abnormal fasting glycemia (p<0.05). R-squared (R²) statistic for multivariable linear model after adjusted for age, family income, education and hypertension showed that LTL was inversely correlated with body mass index (BMI), waist and hip circumference, waist-hip and waist-to-height ratio, truncal skinfolds (subscapular, and subscapular/triceps ratio, central and total skinfolds), fat mass (kg) and % body fat. The relationship between obesity measures and LTL (using the LTL quartile 1 as reference) identified central skinfolds (R²=0.92, p<0.0001), Σ4SF (R²=0.90, p<0.0001), BMI (R²=0.93, p<0.0001) and % body fat (R²=0.91, p<0.0001) as independent predictors of LTL.

CONCLUSIONS

Besides age, obesity and subcutaneous adiposity (predominantly truncal) are major contributors to telomere shortening in Asian Indian women with abnormal fasting glycemia (impaired fasting glucose).

Relationship between tobacco use, alcohol consumption and non-communicable diseases among women in India: evidence from National Family Health Survey-2015-16

BACKGROUND

Based on an increased prevalence of diabetes, asthma and hypertension among women in reproductive age, understanding the risk factors of non-communicable diseases (NCDs) is crucial to inform policy and program interventions to address the problem. In this study, we empirically assessed the associations of behavioural factors such as alcohol consumption and tobacco use and a variety of socioeconomic characteristics with prevalence of NCDs in adult women.

METHODS

The data were derived from the National Family Health Survey conducted in 2015-16. The effective sample size for the present paper was 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were conducted to find the preliminary results. Additionally, multivariable logistic regression analysis was conducted to find the relationship between NCDs and behavioural factors such as alcohol consumption and tobacco use. Moreover, population attributable risk was estimated in the present study.

RESULTS

It was revealed that 15.9% of women had any of the NCDs. A proportion of 0.8% of women smoked tobacco whereas 5.5% of women consumed smokeless tobacco. Also, a proportion of 1.2% of women consumed alcohol in the current study. The odds of having NCDs among women who smoked tobacco, consumed smokeless tobacco and consume alcohol were 16, 8 and 20% significantly higher than the odds of having NCDs among women who did not smoke tobacco, consume smokeless tobacco and consume alcohol respectively. The population attributable risk of having NCDs was 1.8% (p < 0.001) for women who smoked, 0.8% (p < 0.001) for women who consumed smokeless tobacco and 2.2% (p < 0.001) for women who consumed alcohol. Besides, the odds of having NCDs among overweight and obese women were 2.25 and 3.60 times greater than the odds of having NCDs among women who were underweight.

CONCLUSION

The findings revealed that smoking and using smokeless tobacco and alcohol consumption were risk factors of NCDs in women. The findings also alarm the focus of maternal and child health programs on NCDs' risk factors like maternal obesity, due to their adverse health consequences on their children too. Also, the coexistence of higher levels of tobacco use and alcohol consumption requires different strategies to address the vulnerability of women towards NCDs, including screening and early detection of NCDs especially among those who smoke or chew tobacco and consume alcohol.

Executive summary of evidence and consensus-based clinical practice guideline for management of obesity and overweight in postpartum women: An AIIMS-DST initiative

INTRODUCTION

Postpartum obesity is a public health concern. There is a need to counsel women about their postpartum weight management, accounting for various barriers they face. Limited literature in the Indian context underscored the need to develop the clinical practice guideline to be used by healthcare providers in Indian healthcare settings.

METHODS

The guideline was formulated by following the standardised methodology proposed by the National Health and Medical Research Council. Various steps such as identification of the patient population, assembly of the guideline development groups, identification of the key clinical questions, guideline development methods, grading the quality of evidence and recommendations and guideline translation were carried out to develop and validate the clinical practice recommendations.

RESULTS

The evidence and consensus-based clinical practice guideline has been developed, providing recommendations for key topics of interest for first-line treatment of obesity (lifestyle-related management). Recommendations focus on screening and initiating discussion with overweight and obese postpartum women as well as those who had normal pre-pregnancy body mass index but have retained excessive weight in the postpartum period. Recommendations highlight the evaluation and management of dietary, physical activity and breastfeeding behaviour. Recommendations also account for behavioural modification techniques to improve adherence to the prescribed weight management advice. Duration and frequency of follow-ups as well as the advice to be disseminated have also been discussed in the recommendations.

CONCLUSION

The guideline provides clinical practice points that can be used by healthcare providers, postpartum women and policymakers for opportunistic screening and management of postpartum obesity.

Weight management in postpartum women - An Indian perspective

BACKGROUND AND AIMS

This narrative review is intended to present an evidence and opinion-based weight management module for Indian postpartum women to be used by clinicians.

MATERIAL AND METHODS

Electronic databases such as PubMed and Google Scholar were accessed to extract relevant studies to derive evidence-based information. The reference list of the extracted studies was also checked to obtain further relevant articles. The opinion-based information was achieved from the consensus among the gynaecologists, nutritionists and doctors from Medicine according to their practical experiences in real time. In this review, we have used the term "postpartum" to represent the time period of two years after delivery.

RESULTS

A postpartum weight management module consisting of information about diet, physical activity, sleep and breastfeeding was devised to be used in regular clinical practice, particularly in the Indian settings.

CONCLUSION

Postpartum women deal with various unique challenges as compared to other population groups. Individualised weight management strategies should be adopted to facilitate sustainable postpartum weight management.

A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity

Obesity is considered a principal public health concern and ranked as the fifth foremost reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that leads to further health concerns and contributes to numerous chronic diseases, including cancers, diabetes, metabolic syndrome, and cardiovascular diseases. The World Health Organization also predicted that 30% of death in the world will be initiated with lifestyle diseases in 2030 and can be stopped through the suitable identification and addressing of associated risk factors and behavioral involvement policies. Thus, detecting and diagnosing obesity as early as possible is crucial. Therefore, the machine learning approach is a promising solution to early predictions of obesity and the risk of overweight because it can offer quick, immediate, and accurate identification of risk factors and condition likelihoods. The present study conducted a systematic literature review to examine obesity research and machine learning techniques for the prevention and treatment of obesity from 2010 to 2020. Accordingly, 93 papers are identified from the review articles as primary studies from an initial pool of over 700 papers addressing obesity. Consequently, this study initially recognized the significant potential factors that influence and cause adult obesity. Next, the main diseases and health consequences of obesity and overweight are investigated. Ultimately, this study recognized the machine learning methods that can be used for the prediction of obesity. Finally, this study seeks to support decision-makers looking to understand the impact of obesity on health in the general population and identify outcomes that can be used to guide health authorities and public health to further mitigate threats and effectively guide obese people globally.

The association of metabolic health obesity with incidence of carotid artery plaque in Chinese adults

BACKGROUND AND AIMS

We aimed to evaluate the association between different obese phenotypes with carotid artery plaque (CAP) event.

METHOD AND RESULTS

The current retrospective cohort study was performed in 32,778 Chinese adults (19,221 men and 13,557 women, aged 41.9 ± 11.0 years). Obese phenotypes were assessed based on baseline body mass index (<24.0 vs. ≥24.0 kg/m²) and metabolic characteristics (health vs. unhealth). All the participants were further classified into four groups: metabolic health and normal weight (MHNW), metabolic unhealth and normal weight (MUHNW), metabolic health and overweight (MHO), and metabolic unhealth and overweight (MUHO). Ultrasound B-mode imaging was annually performed to evaluate CAP throughout the study. We have identified 2142 CAP cases during 5-year follow-up. Comparing with the MHNW group, the hazard ratios for the risk of incident CAP was 2.44 (95% CI:1.92 and 3.09) for the MUHNW group, 1.52 (95% CI:1.06 and 2.18) for the MHO group, and 1.8 (95% CI:1.4 and 2.33) for the MUHO group. The association was more pronounced in young adults (<65 y) than that in aged adults (≥65 y). Sensitivity analysis generated similar results with the main analysis.

CONCLUSION

MUHNW, MHO, and MUHO were associated with the risk of CAP.

A Pilot Study for Metabolic Profiling of Obesity-Associated Microbial Gut Dysbiosis in Male Wistar Rats

Obesity is one of the most incident and concerning disease worldwide. Definite strategies to prevent obesity and related complications remain elusive. Among the risk factors of the onset of obesity, gut microbiota might play an important role in the pathogenesis of the disease, and it has received extensive attention because it affects the host metabolism. In this study, we aimed to define a metabolic profile of the segregated obesity-associated gut dysbiosis risk factor. The study of the metabolome, in an obesity-associated gut dysbiosis model, provides a relevant way for the discrimination on the different biomarkers in the obesity onset. Thus, we developed a model of this obesity risk factors through the transference of gut microbiota from obese to non-obese male Wistar rats and performed a subsequent metabolic analysis in the receptor rats. Our results showed alterations in the lipid metabolism in plasma and in the phenylalanine metabolism in urine. In consequence, we have identified metabolic changes characterized by: (1) an increase in DG:34:2 in plasma, a decrease in hippurate, (2) an increase in 3-HPPA, and (3) an increase in o-coumaric acid. Hereby, we propose these metabolites as a metabolic profile associated to a segregated dysbiosis state related to obesity disease.

Association of frequency of television watching with overweight and obesity among women of reproductive age in India: Evidence from a nationally representative study

Background

For women of reproductive age, overweight and obesity are an established risk factor for several medical complications. To address the increasing rate of obesity in India through public health awareness programs, the association between common behaviors and overweight and obesity needs to be investigated. This study aims to determine whether there is any association between the frequency of television watching and overweight and obesity among women of reproductive age (15–49 years) in India.

Methods

This is a cross-sectional study that utilized data from the National Family Health Survey (NFHS-4), which utilized a nationally representative sample from all 29 states and 7 union territories of India. The survey itself followed a two-staged stratified random sampling technique. The primary outcome of interest was overweight (23.0 kg/m² to <27.5 kg/m²) and obesity (≥27.5 kg/m²), measured by using the Asian body mass index cut-off. The major explanatory variable was the frequency of television watching, measured in days per week. Sample weight of NFHS-4 was adjusted during the analysis. Multilevel ordered logistic regression was conducted to identify the factors associated with overweight and obesity. To show the strength of association, both the unadjusted Crude Odds Ratio (COR) and the Adjusted Odds Ratio (AOR) were reported with a 95% confidence interval (CI). A p-value<0.05 was considered statistically significant.

Results

The analysis included weighted data from 644,006 Indian women of reproductive age (15–49 years). Among the respondents, 33.5% were overweight or obese (BMI ≥23.0 kg/m²). The prevalence of overweight and obesity increased with age (p-value <0.0001) and almost half of the women aged 35–49 years were either overweight or obese (48.6%). The prevalence was significantly higher among those living in an urban area compared to a rural area (urban 46.5% vs. rural 26.5%; p-value <0.001). The prevalence of overweight and obesity increased with the frequency of watching television and was the highest among the individuals who reported watching television almost every day (p-value <0.0001). Women watching television almost every day had 24% (AOR: 1.24, 95% CI: 1.21–1.26; p-value <0.001) increased odds of being overweight and obese compared to their counterparts who never watched television.

Conclusions

This study found that the likelihood of being overweight and obese significantly increased with the frequency of watching television; likely due to physical inactivity during leisure time. Further studies should examine the physical activity and food habits of this target group. Public health promotion programs in India should raise awareness regarding the harmful effects of the sedentary lifestyle associated with watching television.

Obesity in South Asia: Phenotype, Morbidities, and Mitigation

PURPOSE OF REVIEW

Obesity has increased in South Asian countries that are still grappling with undernutrition. In this review, we highlight the characteristics of obesity, its relation to morbidities, and its management in South Asians. A literature search was conducted using relevant search engines and based on key words focusing on obesity in South Asians.

RECENT FINDINGS

The increasing trend in obesity prevalence is caused by imbalanced diets and physical inactivity. South Asians, in general, have higher body fat and lower skeletal muscle mass at the same or lower BMIs compared to white people ("high body fat-normal BMI-low muscle mass" phenotype). In addition, excess abdominal adiposity, typically seen in South Asians, and increased hepatic fat (non-alcoholic fatty liver disease) are associated with an increased risk for type 2 diabetes and cardiovascular disease. Challenges in treatment include lack of awareness regarding correct diets and non-compliance to diet and exercise regimens. Social and cultural issues limit physical activity in South Asian women. Finally, there is a lack of expert health professionals to deal with increased cases of obesity. Aggressive management of obesity is required in South Asians, with more intensive and earlier diet and exercise interventions (i.e., at lower BMI levels than internationally accepted). At a population level, there is no clear policy for tackling obesity in any South Asian country. Prevention strategies focusing on obesity in childhood and the creation of food and activity environments that encourage healthy lifestyles should be firmly applied. Obesity in South Asians should be evaluated with ethnic-specific guidelines and prevention and management strategies should be applied early and aggressively.

Clinical management of type 2 diabetes in south Asia

Compared with other ethnic groups, south Asian people with type 2 diabetes tend to develop the disease at a younger age and manifest with higher glycaemia, dyslipidaemia, nephropathy, and cardiovascular diseases. Additionally, specific issues that can affect treatment of type 2 diabetes in south Asia include poor awareness of the disease, delay in diagnosis, inadequate treatment, the use of ineffective and often harmful alternative medicines, and frequent non-compliance with lifestyle recommendations and drug treatment. Disease development at younger ages, delayed diagnosis, and inadequate management result in early development of severe complications and premature mortality. In this Series paper, we describe the challenges associated with the increasing burden of type 2 diabetes in south Asia and discuss ways to improve clinical care of people with the disorder in the region (defined to include Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka). Treatment of diabetes in south Asia needs to be individualised on the basis of diverse and heterogeneous lifestyle, phenotype, environmental, social, cultural, and economic factors. Aggressive management of risk factors from diagnosis is necessary to reduce the risk of microvascular and macrovascular complications, focusing on provision of basic treatments (eg, metformin, low-cost statins, and blood pressure-lowering drugs) and other interventions such as smoking cessation. Strengthening of the primary care model of care, better referral linkages, and implementation of rehabilitation services to care for patients with chronic complications will be important. Finally, improvement of physicians' skills, provision of relevant training to non-physician health-care workers, and the development and regular updating of national clinical management guidelines will also be crucial to improve diabetes care in the region.

Association of Parity in Patients with Chronic Liver Disease

INTRODUCTION AND AIM

The impact of type of liver disease on parity rates hasn't been described. Our aim was to assess the parity rates among women with CLD.

MATERIAL AND METHODS

The National Health and Nutrition Examination Survey-III (1988-1994) data were used to identify adult female participants with a diagnosis of CLD. Participants were asked about their reproductive health status. Parity was defined as having at least one live birth. Hepatic ultrasound, serologic, medical examination and clinical data were available to determine the presence and type of CLD. Body mass index (kg/m2) was divided into 3 categories (< 30; 30-35; 36+).

RESULTS

A total of 3,502 (865 NAFLD, 737 other CLD, 1,901 control) subjects were included. Patients with NAFLD were more likely to have at least one live birth than patients with other CLD and controls (77% in NAFLD vs. 72% in controls). Multivariate analysis revealed that presence of CLD other than NAFLD (OR: 0.46 [95% CI, 0.34-0.63]) and having a college or higher degree (OR: 0.48 [95% CI, 0.34-0.68]) were negatively associated while having low income (OR: 11.06 [95% CI, 6.86-17.82]) and being African American (OR: 3.93 [95% CI, 2.59-5.98]) were positively associated with having at least one live birth.

CONCLUSIONS

This study revealed that patients with CLD other than NAFLD were less likely to have at least one live birth. NAFLD and obesity were associated with higher rates of live births which can potentially be explained by weight gain post live birth leading to obesity and its associated-NAFLD.

A randomized controlled trial to evaluate the effects of high Protein Complete (lActo) VEgetaRian (PACER) diet in non-diabetic obese Asian Indians in North India

In view of the increasing prevalence of obesity in largely vegetarian Asian Indians, it is important to research a high protein, low carbohydrate vegetarian diet. The present study was designed to evaluate the effects of a “High Protein Complete (lacto) VEgetaRian Diet (Acronym; ‘PACER diet’), on weight, body composition and metabolic profiles in non-diabetic obese Asian Indians living in north India.

In this 8-week randomized control trial, 102 vegetarian subjects with body mass index (BMI) >25 kg/m² were randomized to either a test diet (PACER diet; high protein, high fat and moderately low carbohydrate, lacto-vegetarian diet) or control diet (standard vegetarian diet formulated as the dietary guidelines for Asian Indians) after 4 weeks of diet and exercise run-in period. A standard exercise protocol was followed for both groups. Body weight, BMI, waist circumference (WC), blood pressure, fasting plasma glucose (FPG), fasting serum insulin and lipid profile were assessed before and after the intervention.

There was significant weight loss along with improvements in cardio-metabolic risk factors among both the groups post intervention. Percent reductions in the intervention group for weight (6.1± 2.9; p < 0.001), WC (3.9 ± 1.7; p < 0.001), FPG (5.9 ± 3.2; p < 0.001), total cholesterol (10.2 ± 6.3: p < 0.001), serum triacylglycerol (13.6 ± 10.6; p < 0.001) and low-density lipoprotein cholesterol (11.9 ± 7.1; p < 0.001]) were significantly greater than the control diet group. In summary, intervention with a PACER diet (high protein, high fat and moderately low carbohydrate, lacto-vegetarian diet) showed significant improvement in weight loss, body composition and cardio-metabolic profile as compared to a standard vegetarian diet among obese Asian Indians in north India.

Is there any Gender Difference in the Association between Obesity, Chronic Kidney Disease and Anemia

Introduction. Nowadays, obesity has emerged as one of the most independent risk factors for chronic kidney disease (CKD) in both economically developed and undeveloped countries. The number of patients requiring dialysis as a consequence of obesity-related renal diseases, such as diabetes mellitus and hypertension, is increasing worldwide. Moreover, obesity has been shown to favorize the risk of cardiovascular diseases (CVD) with premature death due to CKD and/or end-stage renal disease (ESRD). The aim of the study was to investigate the association between obesity [e.g. body mass index (BMI)], kidney function [e.g. glomerular filtration rate (GFR)] and renal anemia in CKD patients.

Methods. Retrospectively, data from the register of 315 pre-dialysis patients with different stages of CKD not on erythropoiesis stimulation agents (ESAs) during the period between 1 Jan 2013-30 June 2013 were used to assess the association between the degree of CKD impairment with the degree of obesity and anemia. The stage and/or progression of CKD was calculated by GFR, while the degree of obesity by the body mass index (BMI). CKD was defined as a glomerular filtration rate (GFR) <60 mL/min per 1.73 m2. Data analysis was performed by means of the simple Microsoft excel program.

Results. Within the study population of 315 CKD patients, 123 were males with mean age of 63.4±1.33 years and 192 females of 57.3±1.2 years. The GFR reduced with the increased BMI in both genders, and majority of patients (n=243) were in CKD stage 3, with a mean GFR of 44.5 ml/min/1.73 m2. The BMI values in female patients with first and second degree of obesity negatively correlated with GFR (r=−0.46, p<0.05). Only female patients with second degree of obesity (BMI of 35-39.9 kg/m2) had a positive correlation between the decreased renal function and reduced Hb levels.

Conclusions. Our study provided an unconditional evidence not only for the presence of an association between the degree of obesity (BMI) and the degree of renal function impairment (GFR), but also an association between the higher BMI and the higher degree of kidney anemia seen in women with second degree of obesity. Further larger scale trials and interventional studies are required to see the effect of body weight reduction on renal function and especially anemia.

A 'snapshot' of physical activity and food habits among private school children in India

Concerns about increasing obesity in poorer parts of the world, including India, have often been premised in terms of global shifts in activity levels and caloric consumption. Lifestyle changes have been documented in large cities, but we do not know whether these changes are reaching young people in less urban locations. This study used photo journals to explore children's perceptions of their food and activity habits in a remote Indian city. Children expressed interest in active pastimes, learning, and health, and indicated traditional, modern, local, and global influences in their lives. Findings offer context for research and interventions.

Neck circumference as a screening measure of overweight/obesity among Indian adults

Neck circumference (NC) is an anthropometric measurement of differentiating body fat distributions and a marker of upper subcutaneous adiposity. The present study highlights the association and importance of NC as a suitable proxy screening measure of overweight/obesity as compared to the conventional anthropometric variables used among Indian adults. The present community based cross-sectional study was undertaken among 1169 Karbi adults (males: 625; females: 544) residing in Karbi Anglong district of Assam, Northeast India, who were selected through a multistage stratified random sampling method. Height, weight, waist circumference (WC), hip circumference (HC) and NC were recorded using standard procedures. The body mass index (BMI) was calculated and prevalence of overweight/obesity was assessed using standard cut-offs. The prevalence of obesity using BMI (≥25.00 kg m-2) was 15.52% and 15.26% among males and females, respectively (p≥0.05).The prevalence of obesity using NC was observed to be significantly higher among males (48.80%) than females (19.12%) (p<0.01). The binary logistic regression analysis showed that NC predicted obesity over the conventional anthropometric variables with reasonable accuracy (p<0.01). The ROC-AUC analysis showed a relatively greater significant association between BMI, WC and HC and NC for obesity (p<0.01). Thus, NC appears to be a potentially simple, easyto- use screening measure for predicting obesity among adults. Further studies are required to validate its use for screening of obesity among other ethnic populations in India.

Toward Food Policy for the Dual Burden of Malnutrition: An Exploratory Policy Space Analysis in India

BACKGROUND

There is global consensus that a strong policy response is essential for addressing the dual burden of malnutrition. However, policy makers in low- and middle-income countries may perceive a conflict between food supply policies to combat persistent undernutrition and more recent recommendations for policies addressing rising rates of diet-related noncommunicable diseases (NCDs).

OBJECTIVE

This article explores the potential to use policy space analysis to identify food supply policy opportunities for addressing both undernutrition and diet-related NCDs and to support improved policy coherence.

METHODS

We conducted an exploratory policy space analysis to identify opportunities and constraints for integrated nutrition policy with respect to the food supply in India, where a dual burden of malnutrition has been well documented. We conducted a review of food supply policies and 27 key informant interviews (16 with stakeholders active in India's national nutrition policy space, and 11 with policy makers and experts in food supply policy).

RESULTS

The analysis suggests several opportunities for an integrated food supply policy agenda, including targeting common foods of concern (such as highly processed foods) and foods that present common benefits (such as fruits and vegetables), and scaling up existing small-scale policy initiatives that support the availability of nutrient-rich foods. Challenges include policy inertia and competing priorities within the economic sector.

CONCLUSION

This scoping study indicates that the policy space analysis framework used here can help to identify specific, contextually appropriate policy options and strategies for strengthening public health nutrition policy within sectors responsible for food supply policy.

Adaptation and Evaluation of the Neighborhood Environment Walkability Scale in India (NEWS-India)

Physical inactivity is the fourth leading risk factor for global mortality, with most of these deaths occurring in low and middle-income countries (LMICs) like India. Research from developed countries has consistently demonstrated associations between built environment features and physical activity levels of populations. The development of culturally sensitive and reliable measures of the built environment is a necessary first step for accurate analysis of environmental correlates of physical activity in LMICs. This study systematically adapted the Neighborhood Environment Walkability Scale (NEWS) for India and evaluated aspects of test-retest reliability of the adapted version among Indian adults. Cultural adaptation of the NEWS was conducted by Indian and international experts. Semi-structured interviews were conducted with local residents and key informants in the city of Chennai, India. At baseline, participants (N = 370; female = 47.2%) from Chennai completed the adapted NEWS-India surveys on perceived residential density, land use mix-diversity, land use mix-access, street connectivity, infrastructure and safety for walking and cycling, aesthetics, traffic safety, and safety from crime. NEWS-India was administered for a second time to consenting participants (N = 62; female = 53.2%) with a gap of 2-3 weeks between successive administrations. Qualitative findings demonstrated that built environment barriers and constraints to active commuting and physical activity behaviors intersected with social ecological systems. The adapted NEWS subscales had moderate to high test-retest reliability (ICC range 0.48-0.99). The NEWS-India demonstrated acceptable measurement properties among Indian adults and may be a useful tool for evaluation of built environment attributes in India. Further adaptation and evaluation in rural and suburban settings in India is essential to create a version that could be used throughout India.

Pattern of physical activity among persons with type 2 diabetes with special consideration to daily routine

Objective:

Physical activity is essential in maintaining a healthy lifestyle. Physical activity can improve general health, quality of life and diabetes management. The aim and objective of the study was to assess the physical activity trends in daily routine of people with type 2 diabetes.

Methods:

Two hundred persons with diabetes from four different clinical settings were included to access the trends of physical activity using a customized questionnaire EPIC-2. Pattern of physical activity was assessed across a set of domains including sleep time, hours of TV watch, preferred mode of transport for specific distance and household activities. Data was analyzed using SPSS 21.

Results:

Out of 200 persons with diabetes, 104(52%) were male and 96 (48%) were female. Out of the total sample of patients, 85 (81.7%) Male and 80 (83.3%) female patients preferred walk to cover a distance of less than one mile. There was a significant difference in selection of mode of transport for all other specified distance, esp. in female patients with both age groups. There was insignificant difference for physical activity pattern related to household activities in young and elderly male subjects. The mean sleeping time for younger male subjects on weekend was 464.31± 88.88 minutes/day and for elder it was 418.65± 102.66 minutes/day while for young female subjects was 476.25± 113.74 minutes/day and in female elderly subjects it was 420.62± 120.62 minutes/day respectively.

Conclusion:

In type 2 diabetics we observed a low level of physical activity which may be detrimental for the control of diabetes mellitus.

Effect of current glycemic control on qualitative body composition in sedentary ambulatory Type 2 diabetics

BACKGROUND

Obesity and Type 2 diabetes mellitus are on rise with cause-effect relationship. Diabetics monitor blood sugar, neglecting qualitative body composition, leaving residual threat of ectopic fat unattended. We tried to correlate glycemic triad with parameters of body composition derived objectively by bioelectrical impedance analysis (BIA).

MATERIALS AND METHODS

A sample of 78 under treatment sedentary Type 2 diabetics of either sex with known glycemic and lipidemic control from our city. Following baseline assessment measurement was done by instrument Omron Karada Scan (Model HBF-510, China) using the principle of tetra poplar BIA to derive parameters of body composition. We tried to correlate glycemic triad with these parameters, both directly as well as after defining them as per established cutoff norms.

RESULTS

We found poor glycemic control in the study group (20% for Hb1AC), high body mass index, subcutaneous fat, visceral fat (VF), total body fat (TBF), and lesser mass of skeletal muscle in Type 2 diabetics. However, there were small, insignificant, and inconsistent difference of these parameters while directly correlating with the fasting blood sugar, postprandial blood sugar, and glycosylated hemoglobin. On qualitative assessment, the impact of glycemic control as per standard norms, the risk of high VF, high TBF, low skeletal muscle mass was though high (between 1 and 2) in Type 2 diabetics with poor glycemic control as compared to good glycemics, but each strength lacks statistical significance.

CONCLUSION

BIA reveals that Type 2 diabetics have more ectopic fat on expense of skeletal muscle that do not correlate with current glycemic status, both quantitatively and qualitatively. Measurement of body composition can be included and subjects can be motivated for lifestyle modification strategies while managing metabolic derangements of Type 2 diabetes.

Socioeconomic factors relating to diabetes and its management in India

Diabetes is an escalating problem in India and has major socioeconomic dimensions. Rapid dietary changes coupled with decreased levels of physical activity have resulted in increases in obesity and diabetes in rural and semi-urban areas, as well as in urban-based people living in resettlement colonies. Increasing risk has also been recorded in those who suffered from poor childhood nutrition and in rural-to-urban migrants. Social inequity manifests in disparities in socioeconomic status (SES), place of residence, education, gender, and level of awareness and affects prevention, care, and management. All these population subsets have major socioeconomic challenges: low levels of awareness regarding diabetes and prevention, inadequate resources, insufficient allotment of healthcare budgets, and lack of medical reimbursement. Unawareness and delays in seeking medical help lead to complications, resulting in many-fold increased costs in diabetes care. These costs plunge individuals and households into a vicious cycle of further economic hardship, inadequate management, and premature mortality, resulting in more economic losses. At the societal level, these are massive losses to national productivity and the exchequer. Overall, there is an immediate need to strengthen the healthcare delivery system to generate awareness and for the prevention, early detection, cost-effective management, and rehabilitation of patients with diabetes, with a focus on people belonging to the lower SES and women (with a particular focus on nutrition before and during pregnancy). Because of an enhanced awareness campaign spearheaded through the National Program on Prevention of Cardiovascular Disease, Cancer, Diabetes and Stroke (NCPCDS) initiated by Government of India, it is likely that the level of awareness and early detection of diabetes may increase.

Overweight trends among Polish schoolchildren before and after the transition from communism to capitalism

This study aims to reveal the secular trends in body mass index (BMI) and the prevalence of overweight and obesity among Polish schoolchildren between the years 1966-2012, during which intense socio-political changes took place. Four surveys were conducted in several districts of Poland looking at 69,746 schoolchildren aged 7-18. Significant increase in mean BMI as well as in the prevalence of overweight and obesity was observed. During this time the highest increase in both mean BMI and excess weight was observed between 1988 and 2012, i.e. after the political transformation, resulting in the improvement of living conditions. However, with respect to girls in late adolescence, between these years, the mean BMI as well as the prevalence of overweight were leveling off, while the percentage of boys with excess body fat in the same developmental category significantly increased in 2012. In the years 1966-1978 and 1978-1988 the pattern of changes in the prevalence of overweight and obesity reflected the social and economic circumstances, i.e. temporary economic improvements, or deepening political crises and food shortage. In conclusion, the weight status of schoolchildren strongly reflects socio-political changes that took place in Poland, as well as in most of the Central European countries in the last half century.

Overweight and obesity in India: policy issues from an exploratory multi-level analysis

This article analyses a nationally representative household dataset-the National Family Health Survey (NFHS-3) conducted in 2005 to 2006-to examine factors influencing the prevalence of overweight/obesity in India. The dataset was disaggregated into four sub-population groups-urban and rural females and males-and multi-level logit regression models were used to estimate the impact of particular covariates on the likelihood of overweight/obesity. The multi-level modelling approach aimed to identify individual and macro-level contextual factors influencing this health outcome. In contrast to most studies on low-income developing countries, the findings reveal that education for females beyond a particular level of educational attainment exhibits a negative relationship with the likelihood of overweight/obesity. This relationship was not observed for males. Muslim females and all Sikh sub-populations have a higher likelihood of overweight/obesity suggesting the importance of socio-cultural influences. The results also show that the relationship between wealth and the probability of overweight/obesity is stronger for males than females highlighting the differential impact of increasing socio-economic status on gender. Multi-level analysis reveals that states exerted an independent influence on the likelihood of overweight/obesity beyond individual-level covariates, reflecting the importance of spatially related contextual factors on overweight/obesity. While this study does not disentangle macro-level 'obesogenic' environmental factors from socio-cultural network influences, the results highlight the need to refrain from adopting a 'one size fits all' policy approach in addressing the overweight/obesity epidemic facing India. Instead, policy implementation requires a more nuanced and targeted approach to incorporate the growing recognition of socio-cultural and spatial contextual factors impacting on healthy behaviours.

Changes in body composition in apparently healthy urban Indian women up to 3 years postpartum

INTRODUCTION

Dietary and life style practices differ in postpartum (PP) and nonpregnant Indian women. Effect of these practices on postpartum weight retention (PPWR) and development of cardio-metabolic risk (CMR) has been scarcely studied in urban women. Aims of this study were to (i) compare anthropometry, biochemical parameters and body composition up to 3 years PP (ii) effect of PPWR, dietary fat intake and physical activity on CMR factors.

DESIGN

Cross-sectional, 300-fullterm, apparently healthy primi-parous women (28.6 ± 3.4 years) randomly selected. 128 women within 7-day of delivery (Group-A), 88 with 1-2 years (Group-B) and 84 with 3-4-year-old-children (Group-C) were studied. Anthropometry, sociodemographic status, physical activity, diet, clinical examination, biochemical tests, body composition, at total body (TB), by dual energy X-ray absorptiometry (GE-Lunar DPX) were collected.

RESULTS

Women at 3-year PP showed higher weight retention (6.5[10] kg) than at 1-year (3.0[7] kg) (median [IQR]). Android fat % (central obesity) increased (P < 0.05) at 1-year PP (47 ± 10.0%) when compared to 1-week PP (44.3 ± 6.7%) and remained elevated at 3-year PP (45.6 ± 10.2%). Regression analysis revealed that at 1-year PP, increase in PPWR (Odd Ratio [OR] 1.8, 95% confidence interval [CI] = [1.2, 2.5], P < 0.001) and inactivity (OR 1.4, 95% CI= (0.97, 2.0), P < 0.1) were predictors for CMR. At 3-year PP, only PPWR was responsible for increase in CMR parameters (OR 1.6, 95% CI = (1.3, 2.3), P < 0.001) and not inactivity (P > 0.1).

CONCLUSION

Postdelivery, low physical activity and higher PPWR may increase CMR in Indian women.

Dietary patterns are associated with metabolic risk factors in South Asians living in the United States

BACKGROUND

South Asians are at high risk of metabolic syndrome, and dietary patterns may influence this risk.

OBJECTIVES

We aimed to determine prevalent dietary patterns for South Asians in the United States and their associations with risk factors for metabolic syndrome.

METHODS

South Asians aged 40-84 y without known cardiovascular disease were enrolled in a community-based cohort called Mediators of Atherosclerosis in South Asians Living in America. A validated food frequency questionnaire and serum samples for fasting and 2-h glucose, insulin, glycated hemoglobin, triglycerides, and total and HDL cholesterol were collected cross-sectionally. We used principal component analysis with varimax rotation to determine dietary patterns, and sequential linear and logistic regression models for associations with metabolic factors.

RESULTS

A total of 892 participants were included (47% women). We identified 3 major dietary patterns: animal protein; fried snacks, sweets, and high-fat dairy; and fruits, vegetables, nuts, and legumes. These were analyzed by tertile of factor score. The highest vs. the lowest tertile of the fried snacks, sweets, and high-fat dairy pattern was associated with higher homeostasis model assessment of insulin resistance (HOMA-IR) (β: 1.88 mmol/L ⋅ uIU/L) and lower HDL cholesterol (β: -4.48 mg/dL) in a model adjusted for age, sex, study site, and caloric intake (P < 0.05). The animal protein pattern was associated with higher body mass index (β: 0.73 m/kg(2)), waist circumference (β: 0.84 cm), total cholesterol (β: 8.16 mg/dL), and LDL cholesterol (β: 5.69 mg/dL) (all P < 0.05). The fruits, vegetables, nuts, and legumes pattern was associated with lower odds of hypertension (OR: 0.63) and metabolic syndrome (OR: 0.53), and lower HOMA-IR (β: 1.95 mmol/L ⋅ uIU/L) (P < 0.05).

CONCLUSIONS

The animal protein and the fried snacks, sweets, and high-fat dairy patterns were associated with adverse metabolic risk factors in South Asians in the United States, whereas the fruits, vegetables, nuts, and legumes pattern was linked with a decreased prevalence of hypertension and metabolic syndrome.

Unhealthy weight among children and adults in India: urbanicity and the crossover in underweight and overweight

PURPOSE

Urbanization may promote the rise of dual burdens of underweight and overweight in low- and middle-income countries. We assessed underweight and overweight by urban residence across the lifespan in India.

METHODS

Using nationally representative, directly measured height and weight data (2004-2006; n = 236,039), we estimated and compared the prevalence of underweight and overweight (including obesity) at ages 0 to 54 years by urban and rural residence; absolute burdens of underweight, overweight, and combined unhealthy weight were estimated using 2011 Census data.

RESULTS

Thirty-eight percent of the urban population and 36% of the rural population of India experienced unhealthy weight, amounting to 378 million underweight or overweight individuals. In urban areas, the unhealthy weight burden was largely underweight in childhood and overweight in adulthood. In rural areas, the unhealthy weight burden was largely underweight at all ages. Urban residents compared with rural residents were more likely to be overweight and less likely to be underweight at nearly all ages.

CONCLUSIONS

Combined unhealthy weight was comparable in urban and rural India. Although underweight continues to be the predominant nutritional problem, there is early evidence of an epidemiologic crossover from underweight to overweight. As India experiences urbanization and population aging, low overweight and obesity may be short lived.

Suryanamaskar: An equivalent approach towards management of physical fitness in obese females

BACKGROUND

In India, obesity is highly prevalent in women as compared to men. As the obesity epidemic spreads, there are growing concerns about efficient obesity management.

AIMS

To compare between circuit training (CT), treadmill (TM) walking and suryanamaskar (SN) training in weight management and physical fitness enhancement in obese females.

SETTINGS AND DESIGNS

Comparative controlled study conducted in a community setting.

MATERIALS AND METHODS

119 females of age between 20 and 40 years of body mass index (BMI) between 25.1 and 34.9 kg/m(2). 87 participants completed the study. Group 1: CT; group 2: TM walking; group 3: Modified SN; group 4: Control.

OUTCOME MEASURES

Body composition, cardio-respiratory and muscle endurance, flexibility.

STATISTICAL ANALYSIS

Within-group data was analyzed with the paired t-test. P =0.05. Analysis between the groups was done using one way ANOVA test. Analysis between the groups was done using ANCOVA test controlling for baseline differences only for those variables that have significant differences at baseline. For those which do not have significant difference at baseline, RMANOVA was done at end of 8 weeks.

RESULTS

Reducation in mean body weight in CT group (2.2%), TM (1.7%) and SN (1.6%), (P < 0.05), BMI in all the three groups (P < 0.01), total body fat % in the CT (5%) and SN (3.7%), (P < 0.01), metabolic age with CT (2%) and TM (2%), (P = 0.001). Improvement in muscle mass in CT (4%, P = 0.009), VO2max in CT group by 17.2%, SN (14%), TM group (8%) (P < 0.05). Upper limb Muscle endurance in CT (51.3%), SN group (51.24%) and in TM group (40%), (P = 0.05), in lower limb TM (21.2%) and SN (24.5%) (P = 0.05), flexibility in SN (12.4%, P = 0.0001).

CONCLUSIONS

All three methods were effective in weight and physical fitness management. CT and SN were more effective in improving cardio-respiratory fitness and upper limb muscle endurance while only SN was effective in improving body flexibility.

Intervention trials for prevention of metabolic syndrome and type 2 diabetes: focus on Asian Indians

Prevalence of diabetes continues to increase in urban areas, and escalation is discernible in semi-urban and rural areas. It is reported to affect Asian Indians a decade earlier compared with other populations, and complications (e.g., nephropathy) occur earlier and are severe and more prevalent than in other races. Because of these adverse features and suboptimal management practices, type 2 diabetes mellitus (T2DM) poses a huge health and economic burden to the country. Simple and culturally sensitive interventions for Asian Indians have been shown to be effective in prevention/amelioration of diabetes and other cardiovascular risk factors in multiple settings, among urban and rural residents, in migrants, and in those who are healthy or obese or have metabolic syndrome or T2DM. Furthermore, short-term intensive lifestyle intervention in children improves anthropometric and metabolic parameters. Finally, intervention with specific nutrient or oil substitution in Indian diets has been reported to produce benefit in multiple metabolic cardiovascular risk factors. There is, however, further need for conducting well-designed and planned intervention trials with robust outcome data at the primary and secondary levels. These trials must be culturally sensitive and should investigate cost-effective strategies.

Eliciting a policy response for the rising epidemic of overweight-obesity in India

India is experiencing multiple transitions with respect to nutrition patterns, epidemiology and demography. Along with staggering childhood undernutrition, a rapid rise in chronic diseases and their risk factors including overweight-obesity (O-O), among all sections of society, is compounding India's health challenges. We present an overview of the O-O scenario (prevalence, determinants) and profile existing initiatives to address this modifiable risk factor in India. Urgent attention from all sectors, committed resources, policy support and targeted actions are warranted to combat the dual burden of malnutrition. The health systems should be reoriented and strengthened, in addition to enabling actions in other sectors, to address prevention and control of non-communicable diseases and associated risk factors like O-O.

Physical activity patterns among South-Asian adults: a systematic review

Physical activity (PA) has many beneficial physical and mental health effects. Physical inactivity is considered the fourth leading risk factor for global mortality. At present there are no systematic reviews on PA patterns among South Asian adults residing in the region. The present study aims to systematically evaluate studies on PA patterns in South Asian countries. A five-staged comprehensive search of the literature was conducted in Medline, Web of Science and SciVerse Scopus using keywords 'Exercise', 'Walking', 'Physical activity', 'Inactivity', 'Physical Activity Questionnaire', 'International Physical Activity Questionnaire', 'IPAQ', 'Global Physical Activity Questionnaire' and 'GPAQ', combined with individual country names. The search was restricted to English language articles conducted in humans and published before 31st December 2012. To obtain additional data a manual search of the reference lists of articles was performed. Data were also retrieved from the search of relevant web sites and online resources. The total number of hits obtained from the initial search was 1,771. The total number of research articles included in the present review is eleven (India-8, Sri Lanka-2, Pakistan-1). In addition, eleven country reports (Nepal-3, Bangladesh-2, India-2, Sri Lanka-2, Bhutan-1, Maldives-1) of World Health Organization STEPS survey from the South-Asian countries were retrieved online. In the research articles the overall prevalence of inactivity was as follows; India (18.5%-88.4%), Pakistan (60.1%) and Sri Lanka (11.0%-31.8%). STEPS survey reports were available from all countries except Pakistan. Overall in majority of STEPS surveys females were more inactive compared to males. Furthermore, leisure related inactivity was >75% in studies reporting inactivity in this domain and people were more active in transport domain when compared with the other domains. In conclusion, our results show that there is a wide variation in the prevalence of physical inactivity among South-Asian adults within and between countries. Furthermore, physical inactivity in South Asian adults was associated with several socio-demographic characteristics. Majority of South Asian adults were inactive during their leisure time. These Factors need to be considered when planning future interventions and research aimed at improving PA in the region.