Association of sleep duration and sleep quality with body mass index among young adults.

Background: It is evident from the research in recent years that short sleep has been found as a risk factor for obesity. However, we still need enough evidence in this field. Therefore, we explored the directionality of the association between sleep duration and sleep quality with body mass index (BMI). Aims: The aim of this study is to evaluate the association of sleep duration and sleep quality with BMI among young adults. Objectives: (a) To assess the association of sleep duration with BMI. (b) To assess the quality of sleep with BMI. Methods: In this cross-sectional study, 88 individuals selected from King George's Medical University were taken as participants. Majority of patients were males (67%). There were 29 (33.0%) females. Sex ratio of study was 2.03, and we used Pittsburgh sleep quality index (PSQI) questionnaire to assess time spent in bed and sleep quality. BMI was divided into 3 categories. Underweight (BMI <18.5 kg/m2), normal weight (18.5-22.9 kg/m2), overweight (23-24.9 kg/m2), obese grade I (25-34.9 kg/m2), obese grade II (35.0 kg/m2), and above. Results: We observed that short sleep duration ± SD (h) <6 h/day f = 9.04; P < 0.001 is associated with greater chances of being overweight and obese and mean sleep quality (mean PSQI ± SD) f = 12.24; P < 0.001 was poor in obese grade I and II. Mean neck and waist circumference also showed a significant increasing trend with increasing BMI category (P < 0.001). Conclusion: This study concludes that short sleep duration and poor sleep quality were associated with overweight obesity among young adults.

The Origin and Clinical Relevance of Yoga Nidra.

Yoga nidra, also known as 'yogic sleep', is a simplified form of an ancient tantric relaxation technique. The most general description of the practice is that it combines guided mental imagery with a specific yoga posture called Shavasana (or "corpse pose"). The goal of yoga nidra is to promote a profound state of relaxation, which differs from sleep inasmuch as there is still an awareness of one's surroundings. While several components of the practice have been known since ancient times, it was not until the 1960s that an updated and systematized system of practice was introduced to the public through the writings of Swami Satyananda Saraswati. Unlike other schools of yoga, which emphasize concentration or contemplation, yoga nidra's goal is complete relaxation. As such, its advocates claim that it is suitable for all individuals, from beginners to advanced practitioners of yoga. The calm inner stillness induced by yoga nidra is claimed by practitioners to be an effective stress management tool as well as a means for attaining greater receptivity to personal resolutions. These resolutions can range from the goal of achieving self-transformation, enhancing creativity, or improving one's learning ability. Additionally, yoga nidra is claimed to promote beneficial changes in physiological and mental health. The following narrative review summarizes the basic steps used to achieve the final state of yoga nidra relaxation as well as some recent experimental findings regarding its physiological and psychological effects. Standard research databases were searched for relevant articles. Clinical studies have shown that yoga nidra meditation is associated with positive physiological changes, including improvements in several hematological variables, red blood cell counts, blood glucose levels, and hormonal status. Two neuroimaging studies have shown that yoga nidra produces changes in endogenous dopamine release and cerebral blood flow, a further confirmation that its effects on the CNS are objectively measurable. The practice has also been shown to reduce psychometrically measured indices of mild depression and anxiety, although these benefits were not shown in an experimental study to extend to severe depression or severe anxiety.

The Association of a Rare Variant of -93, -53 Promoter Gene Polymorphisms of Lipoprotein Lipase gene with Obesity and Insulin Resistance.

OBJECTIVES: Obesity increases the risk of numerous chronic diseases. Obesity is classified clinically using body mass index (BMI), waist-to-hip ratio, and body fat percentage. The lipoprotein lipase (LPL) gene has been linked to lipoprotein metabolism and obesity. We performed a case-control study to determine the association between LPL gene polymorphisms and obesity-associated phenotypes such as insulin resistance (IR). METHODS: We examined the different LPL gene variants for association in 642 individuals segregated by BMI and IR. Genotyping of the LPL gene -93 and -53 promoter gene polymorphisms were analyzed using polymerase chain reaction-restriction fragment length polymorphism. RESULTS: A substantial association was observed for -93 gene polymorphism of the LPL gene with obesity, while -53 promoter gene polymorphism showed association with IR. CONCLUSIONS: We found a significant association between -93 and -53 promoter gene polymorphisms of the LPL gene with obesity and associated phenotypes in the studied population.

Cytokine Gene Variants as Predictors of Type 2 Diabetes Mellitus.

BACKGROUND: Diabetes is the third widespread after heart disease and cancer. We have investigated genetic polymorphisms in cytokine genes viz. IL-4, IL-1Ra, IL-1ß, IL-18, IL-6, TNF-α, IL-10 and ADIPOQ. The aim of study was to investigate the haplotypes, gene-gene interactions and their role in determining individual susceptibility to T2DM of family members with diabetic history. METHODS: Haplotype analysis of 2 SNPs each in IL-6 and adiponectin genes showing Pairwise Linkage disequilibrium (LD) was done by SHEsis software. Logistic regression was used to study various combinations of gene-gene interactions. RESULTS: The TCGT* set of allele combination appeared to increase the disease risk upto 2 times while TATG* upto 51.4 times when four SNPs are taken together viz. IL-1ß-511 C/T, IL-18-607 A/C, ADIPOQ1 +45 G/T and ADIPOQ2 +10211 T/G. Interaction of SNPs in eight genes showed one highly significant combination of alleles, TCGAGCTT* which increased the risk of T2DM upto 7.4 times while CAGAGCGT* allele combination increased the risk upto 4 times. CONCLUSION: During pedigree analysis in six families with four SNPs, it was interesting to note that susceptible 'AC' genotype of IL-18-607 A/C was frequent in diabetic individuals in almost all families. Moreover, when checked for the presence of risk haplotypes it was observed that TCGT* and TATG* sets of allele combinations were present in most of the diabetic individuals. Individuals with certain abnormal biochemical parameters but not yet diagnosed for T2DM carried the risk genotype or haplotype. This suggested that individuals carrying risk genotypes/haplotypes might be susceptible to T2DM and develop the disease in the future.

A multianalytical approach to evaluate the association of 55 SNPs in 28 genes with obesity risk in North Indian adults.

OBJECTIVES: The aim of the study was to investigate the association of 55 SNPs in 28 genes with obesity risk in a North Indian population using a multianalytical approach. METHODS: Overall, 480 subjects from the North Indian population were studied using strict inclusion/exclusion criteria. SNP Genotyping was carried out by Sequenom Mass ARRAY platform (Sequenom, San Diego, CA) and validated Taqman® allelic discrimination (Applied Biosystems® ). Statistical analyses were performed using SPSS software version 19.0, SNPStats, GMDR software (version 6) and GENEMANIA. RESULTS: Logistic regression analysis of 55 SNPs revealed significant associations (P < .05) of 49 SNPs with BMI linked obesity risk whereas the remaining 6 SNPs revealed no association (P > .05). The pathway-wise G-score revealed the significant role (P = .0001) of food intake-energy expenditure pathway genes. In CART analysis, the combined genotypes of FTO rs9939609 and TCF7L2 rs7903146 revealed the highest risk for BMI linked obesity. The analysis of the FTO-IRX3 locus revealed high LD and high order gene-gene interactions for BMI linked obesity. The interaction network of all of the associated genes in the present study generated by GENEMANIA revealed direct and indirect connections. In addition, the analysis with centralized obesity revealed that none of the SNPs except for FTO rs17818902 were significantly associated (P < .05). CONCLUSIONS: In this multi-analytical approach, FTO rs9939609 and IRX3 rs3751723, along with TCF7L2 rs7903146 and TMEM18 rs6548238, emerged as the major SNPs contributing to BMI linked obesity risk in the North Indian population.

Genetics of Obesity.

Numerous classical genetic studies have proved that genes are contributory factors for obesity. Genes are directly responsible for obesity associated disorders such as Bardet-Biedl and Prader-Willi syndromes. However, both genes as well as environment are associated with obesity in the general population. Genetic epidemiological approaches, particularly genome-wide association studies, have unraveled many genes which play important roles in human obesity. Elucidation of their biological functions can be very useful for understanding pathobiology of obesity. In the near future, further exploration of obesity genetics may help to develop useful diagnostic and predictive tests for obesity treatment.

Association of the -243A>G, +61450C>A Polymorphisms of the Glutamate Decarboxylase 2 (GAD2) Gene with Obesity and Insulin Level in North Indian Population.

BACKGROUND: Obesity associated with type 2 diabetes, and hypertension increased mortality and morbidity. Glutamate decarboxylase 2 (GAD2) gene is associated with obesity and it regulate food intake and insulin level. We investigated the association of GAD-2gene -243A>G (rs2236418) and +61450C>A (rs992990) polymorphisms with obesity and related phenotypes. METHODS: Insulin, glucose and lipid levels were estimated using standard protocols. All subjects were genotyped (PCR-RFLP) method. RESULTS: The -243A>G polymorphism of the GAD-2 gene was significantly associated with higher risk of obesity (P<0.05). CONCLUSION: GAD-2 gene polymorphisms influence obesity and related phenotype in complex manner, probably by regulating the food intake, insulin and body weight.

Association of FTO rs9939609 SNP with Obesity and Obesity- Associated Phenotypes in a North Indian Population.

OBJECTIVES: Obesity is a common disorder that has a significant impact on morbidity and mortality. Twin and adoption studies support the genetic influence on variation of obesity, and the estimates of the heritability of body mass index (BMI) is significantly high (30 to 70%). Variants in the fat mass and obesity-associated (FTO) gene have been associated with obesity and obesity-related phenotypes in different populations. The aim of this study was to examine the association of FTO rs9939609 with obesity and related phenotypes in North Indian subjects. . METHODS: Gene variants were investigated for association with obesity in 309 obese and 333 non-obese patients. Genotyping of the FTO rs9939609 single nucleotide polymorphism (SNP) was analyzed using Restriction Fragment Length Polymorphism Analysis of PCR-Amplified Fragments. We also measured participants fasting glucose and insulin levels, lipid profile, percentage body fat, fat mass and fat free mass. . RESULTS: Waist to hip ratio, systolic blood pressure, diastolic blood pressure, percentage body fat, fat mass, insulin concentration, and homeostasis model assessment index (HOMA-Index) showed a significant difference between the study groups. Significant associations were found for FTO rs9939609 SNP with obesity and obesity-related phenotypes. The significant associations were observed between the rs9939609 SNP and blood pressure, fat mass, insulin, and HOMA-index under a different model. . CONCLUSION: This study presents significant association between FTO rs9939609 and obesity defined by BMI and also established the strong association with several measures of obesity in North Indian population.

Psycho-Biological Changes with Add on Yoga Nidra in Patients with Menstrual Disorders: a Randomized Clinical Trial.

INTRODUCTION: Menstrual disorders are common problems among women in the reproductive age group. Yuga interventions may decrease the physical and psychological problems related to menstrual disorders. The present study was aimed to assess the effect of Yoga Nidra on psychological problems in patients with menstrual disorders. METHODS: A total number of 100 women recruited from the department of obstetrics and gynecology and were then randomly allocated into two groups: a) intervention received yogic intervention and medication for 6 month, and b) control group received no yogic intervention and they only received prescribed medication). Psychological General Well-Being Index (PGWBI) and hormonal profile were assessed at the time of before and after six months on both groups. RESULTS: The mean score of anxiety, depression, positive well-being, general health, and vitality scores, as well as hormonal levels, in posttest were significantly different in intervention group as compared with pretest. But there was no significant difference in control group. CONCLUSION: Yoga Nidra can be a successful therapy to overcome the psychiatric morbidity associated with menstrual irregularities. Therefore, Yogic relaxation training (Yoga Nidra) could be prescribed as an adjunct to conventional drug therapy for menstrual dysfunction.

Association of FTO and IRX3 genetic variants to obesity risk in north India.

BACKGROUND: Obesity is an increasingly important health problem worldwide as well as in developing countries like India. Recent genetic studies suggest that obesity associated FTO and IRX3 are functionally linked and many effects due to genetic variants in FTO gene act through IRX3. AIM: To evaluate the association of FTO and IRX3 genetic variants towards obesity risk. SUBJECTS AND METHODS: North Indian individuals categorised as non-obese (BMI < 30 kg/m(2)) and obese (BMI ≥ 30 kg/m(2)) were selected. FTO rs8050136, rs1421085, rs9939609, rs17817449 and IRX3 rs3751723 were genotyped by means of validated Taqman® allelic discrimination to evaluate their association with obesity by means of single locus logistic regression by SPSS ver. 19 and multi-locus linkage and haplotype analysis by SNPStats and gene-gene interaction with Generalised Multifactor Dimensionality Reduction (GMDR) ver.6. RESULTS: In single locus analysis, FTO rs8050136 CA (p = 0.0001; OR (95% CI) = 2.4 (1.7-3.4) and AA (p = 0.0001; OR (95% CI) = 3.1 (1.9-5.2); FTO rs1421085 TA (p = 0.0001; OR (95% CI) = 2.1 (1.4-3.0) and AA (p = 0.0001; OR (95% CI) = 3.0 (1.8-5.0); FTO rs9939609 TC (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and CC (p = 0.0001; OR (95% CI) = 4.2 (2.5-7.3) along with TG (p = 0.001; OR (95% CI) = 2.1 (1.3-3.2) and GG (p = 0.021; OR (95% CI) = 3.8 (1.2-11.8) genotypes of FTO rs17817449 with GT (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and TT (p = 0.012; OR (95% CI) = 3.3 (1.8-3.6) genotypes of IRX3 rs3751723 were significantly associated with obesity. In multi-locus analysis, SNPs of FTO and IRX3 were in strong linkage disequilibrium and in haplotype and GMDR analysis the SNPs were significantly associated with obesity risk (p < 0.05). CONCLUSION: This is the first study to reveal that genetic variants of both FTO and IRX3 genes are in high linkage disequilibrium (LD) and are associated with obesity risk in North Indians.

Analysis of MC4R rs17782313, POMC rs1042571, APOE-Hha1 and AGRP rs3412352 genetic variants with susceptibility to obesity risk in North Indians.

BACKGROUND: Obesity is a multi-factorial disorder influenced by genetic and environmental factors. The physiological pathways associated with obesity are complex and involve several genes. AIM: The aim of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE) and agouti-related protein (AGRP) with obesity in the North Indian population. METHODS: MC4R rs17782313, POMC rs1042571, APOE-Hha1 and AGRP rs3412352 polymorphisms were investigated for their association in 396 obese individuals with BMI ≥ 30 kg/m(2) and 300 healthy non-obese individuals with BMI < 30 kg/m(2). Genotyping was performed using Taqman probes and PCR-RFLP methods. Single locus logistic regression analysis was conducted using (SPSS), ver.19 and PLINK software Version 1.01 and high order genetic interactions associated with obesity risk were analysed using MDR software (version 2.3.0.2). RESULTS: The genotypes of MC4R rs17782313, POMC rs1042571 and APOE-Hha1 were significantly associated with obese individuals (BMI ≥ 30 kg/m(2)) when compared with non-obese individuals (BMI < 30 kg/m(2)). No association of AGRP rs34123523 was seen with obesity. CONCLUSIONS: The best interaction model for predicting obesity risk by MDR analysis was the three factor model including POMC (C > T), MC4R (T > C) and APOE (Hha1) polymorphisms. Genetic variants in MC4R, POMC and APOE genes might play significant roles in predisposing obesity (BMI ≥ 30 kg/m(2)) in the North Indian population.

Association of adiponectin gene polymorphism with adiponectin levels and risk for insulin resistance syndrome.

BACKGROUND: Adiponectin is an abundant adipose tissue-derived protein with anti-atherogenic, anti-inflammatory and antidiabetic properties. Plasma adiponectin levels are decreased in obesity, type 2 diabetes, and coronary artery disease and low adiponectin levels also predict insulin resistance (IR). METHODS: Case-control study in which 642 male and female subjects were participated from the North Indian population. Lipid, insulin, leptin and adiponectin level were estimated using standard protocols by commercially available test kits. Single nucleotide polymorphisms +45T>G and +276G>T of the AMP1 (adiponectin) gene was genotyped by polymerase chain reaction restriction fragment length polymorphism method. RESULTS: Levels of adiponectin, insulin, homeostasis model assessment-IR index (HOMA-IR index), systolic blood pressure and fat mass showed significant differences between male and female subjects. Serum adiponectin level showed highly significant association with both the +45 and the +276 genotypes. The common haplotype triglyceride (TG) showed a significantly lower adiponectin value than other haplotypes (P = 0.0001). A clear trend of decreasing adiponectin levels per copy of the common haplotype was observed. Nonobese insulin sensitive subjects showed a higher adiponectin value (P = 0.0006) than nonobese insulin resistant subjects. The values of blood pressure, adiponectin, insulin, HOMA-IR, total-cholesterol, and low-density lipoprotein-cholesterol significantly associated with TG haplotype. CONCLUSIONS: We observed the very strong association of the adiponectin 45-276 genotypes and haplotypes with adiponectin levels in healthy north Indian population and TG haplotypes also associated with metabolic parameters of the IR syndrome.

Interleukin-6 (IL-6)-597 A/G (rs1800797) & -174 G/C (rs1800795) gene polymorphisms in type 2 diabetes.

BACKGROUND & OBJECTIVES: Diabetes is a metabolic pro-inflammatory disorder characterized by chronic hyperglycaemia and increased levels of circulating cytokines suggesting a causal role for inflammation in its aetiology. In order to decipher the role of interleukin-6 (IL-6) in type 2 diabetes mellitus (T2DM) we analyzed two promoter polymorphisms -597 A/G (rs1800797) and -174 G/C (rs1800795) in T2DM cases from north India, and in healthy controls. METHODS: DNA was isolated from venous blood samples of T2DM patients (n=213) and normal healthy controls (n=145). Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was performed after biochemical analysis. The genotypic and allelic frequency distributions were analyzed. RESULTS: The clinical/biochemical parameters of T2DM cases when compared to controls showed a significant difference. No significant association was observed with -597A/G polymorphism while, -174 G/C showed a highly significant association (P<0.001). In haplotypic analysis, combination of -597GFNx01/-174CFNx01 showed significant association (P=0.010). INTERPRETATION & CONCLUSIONS: Our data suggest that IL-6 gene polymorphisms play a prominent role in T2DM disease susceptibility in population from north India.

Evaluation of MC4R [rs17782313, rs17700633], AGRP [rs3412352] and POMC [rs1042571] Polymorphisms with Obesity in Northern India.

OBJECTIVE: Genetic variants of the melanocortin-4 receptor gene (MC4R), agouti related protein (AGRP) and proopiomelanocortin (POMC) are reported to be associated with obesity. Therefore, the aim of this study is to examine MC4R rs17782313, MC4R rs17700633, AGRP rs3412352 and POMCrs1042571 for any association with obesity in North Indian subjects. METHODS: The variants were investigated for association in 300 individuals with BMI ≥30 kg/m(2) and 300 healthy non-obese individuals BMI <30 kg/m(2.) The genotyping were analyzed by Taqman probes. The statistical analysis was performed by the SPSS software, ver.19 and p≤0.05 was considered statistically significant. RESULTS: The genotypes of MC4R rs17782313 and POMC rs1042571 were significantly associated with obesity (C), (p=0.02; OR=1.7 and p=0.01; OR=1.6, respectively); however, MC4Rrs17700633 (p=0.001; OR=0.55) was associated with low risk. In addition, AGRPrs3412352 (p=0.93; OR=0.96) showed no association with obesity (BMI ≥30 kg/m(2)) in North Indian subjects. CONCLUSION: This study provides the report about the significant association of MC4R (rs17782313) and POMC (rs1042571) with morbid obesity (BMI ≥30 kg/m(2)), but MC4R (rs17700633) and AGRP (rs34123523) did not show any association with obesity in the studied North Indian population.

Association of IL-6, TNF-α and IL-10 gene polymorphisms with type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) is a metabolic pro-inflammatory disorder characterized by chronic hyperglycemia and increased levels of circulating cytokines suggesting a causal role of inflammation in its etiology. Polymorphism of cytokine genes including interleukin-6 (IL-6), tumour necrosis factor-α (TNF-α) and interleukin-10 (IL-10) were studied in T2DM patients as well as in normal healthy controls. Genomic DNA was isolated from both T2DM patients and controls followed by quantification and genotyping by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) using suitable primers. The genotypic, allelic and carriage rate frequency distribution in patients and controls were analyzed by SPSS (version 15.0). Odd ratios with 95 % confidence interval was determined to describe the strength of association by logistic regression model. Double and triple combinations of genotypes were analyzed by χ(2) test. Gene-gene interaction and linkage disequilibrium tests were performed using SHEsis software. Individually, IL-6, TNF-α and IL-10 did not show any association. In double combination, IL-6 -597 GA and TNF-α -308 GG genotypes increased the risk up to 21 times and in triple combination IL-6 -597 AA, TNF-α -308 GG and IL-10 -592 CA increased the risk of T2DM up to 314 times. In gene-gene interaction allele 'A' of all studied polymorphisms increased the risk of T2DM up to 1.41 times. Our results suggest that individuals having a haplotype combination of AA, GG and CA for IL-6, TNF-α and IL-10 gene polymorphisms will have higher susceptibility and be at greater risk of developing T2DM.

Association of apolipoprotein B XbaI gene polymorphism and lipid profile in northern Indian obese.

BACKGROUND: Over the last few decades, obesity, diabetes, and hypertension have become main health evils. The health problems of obesity are well-recognized. However, the fact that all obese individuals are not at the same risk of developing a disease is also recognized. The apolipoprotein B (APOB) plays a central role in lipid metabolism. So we compare the association of APOB XbaI gene polymorphism and lipid profile total in obese north Indian population. MATERIALS AND METHODS: A total of 132 obese (body mass index [BMI] >25 kg/m(2)) and 132 age matched non-obese (BMI ≤ 25 kg/m(2)) subjects were studied after taking detailed clinical profile. Lipid profile in serum/plasma was done using commercial kits. Genetic analysis of APOB XbaI was done using Polymerase Chain Reaction-Restriction Fragment Leanth polymorphism (PCR-RFLP). STATISTICAL ANALYSIS: Statistical analysis was performed by Statistical Package for the Social Sciences (SPSS) (version 11.5) software (IBM Corporation). All continuous variables were expressed as mean ± SD and tested by analysis of variance test. Comparisons of categorical variables were assessed using χ(2) tests or Fisher's exact test. P < 0.05 was considered as significant. RESULTS: Analysis showed that obese subjects had significantly higher value of the waist-to-hip ratio, blood pressure (systolic and diastolic), and lipid profile. In APOB XbaI gene polymorphism, we did not find significant differences in genotype or allele frequencies. Moreover, none of the studied metabolic parameters (lipid profile) showed any association with the gene polymorphism. CONCLUSIONS: Study reveals no considerable association of APOB XbaI gene polymorphism with obesity and lipid profile in north Indians.

Impact of Yoga Nidra on menstrual abnormalities in females of reproductive age.

OBJECTIVES: The aim of this study was to observe the effect of Yoga Nidra practice on hormone levels in patients who had menstrual irregularities. DESIGN: The study was a randomized controlled trial. SETTINGS/LOCATION: The study was conducted in the Department of Obstetrics and Gynecology at Chhatrapati Sahuji Maharaj Medical University, Uttar Pradesh, Lucknow, India. SUBJECTS were divided randomly into 2 groups-an intervention and a control group, with 75 subjects in each group. Of these subjects, 126 completed the study protocol. SUBJECTS: This study involved 150 subjects with menstrual irregularities; 126 of whom completed the protocol. INTERVENTIONS: The intervention was the practice of Yoga Nidra. The yogic intervention duration was 35-40 minutes/day, five times/week for 6 months. An estimation of hormonal profile was done for both groups at baseline and after 6 months. RESULTS: Thyroid-stimulating hormone (p<0.002), follicle-stimulating hormone (p<0.02), luteinizing hormone (p<0.001), and prolactin (p<0.02) were decreased significantly in the intervention group, compared with the control group. CONCLUSIONS: The present study demonstrated the efficacy of Yoga Nidra on hormone profiles in patients with menstrual irregularities. Yoga Nidra practice was helpful in patients with hormone imbalances, such as dysmenorrhea, oligomenorrhea, menorrhagia, metrorrhagia, and hypomenorrhea.