Prevalence of Metabolic Obesity Normal Weight (MONW) in Cardiovascular Disease Patients - A Hospital-Based Case Control Study

Garg, Mayank; Mohale, Sandip

doi:10.14260/jemds/2020/528

Cited by 10 publications

(12 citation statements)

References 16 publications

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“…We reviewed the case studies, research articles and protocols to collect information on study drugs [13][14][15]. Various research studies on obesity were reported increasing prevalence and associated risk with obesity [16][17][18]. Studies on assessments of obesity and lipid profiles in different conditions were reviewed [19][20][21].…”

Section: Plan To Promote Participants Retention and Complete Follow Upmentioning

confidence: 99%

Protocol on Comparative Clinical Efficacy of Tryushanadi Guggul and Navaka Guggul in Sthoulya (Overweight)

Pardhekar

Misar

Ade

2021

JPRI

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Background: Sthoulya is Medovaha Strotodushtijanya vyadhi, which includes abnormal and excessive accumulation of Medodhatu in the body. This is caused by lack of physical and mental activity, daytime sleep, excessive intake of madhur (sweet), snigdha ahar (oily diet) results in increase Kaphadosha and meda which results in Sthoulya (overweight) having symptoms of mild dysponea, thirst, drowsiness, excess sleep, appetite, offensive smell from the body, incapability to work and incapability to participate in sexual intercourse. Aim: Comparative clinical efficacy of Tryushanadi Guggul and Navaka Guggul in Sthoulya (overweight). Materials and methods: Total 60 patients of Sthoulya will enrolled and will divided into two groups (each group contains 30). Patients in group A (experimental group) will be given 1 gram Tryushanadi Guggul two times a day after meal with honey and in group B (control group)1 gram Navaka Guggul will administered two times a day after meal with honey for 30 days. Dietary changes and walking (30 minutes) will be advised to patients of both groups. Follow up will be taken on 15th day and 30th day. Assessment of subjective parameters like kshudrashwasa (exertional dyspnoea), swedadhikya (perspiration), atikshudha (increased appetite), nidradhikya (increased sleep) and objective parameters like body weight, B.M.I., mid arm circumference, waist-hip ratio and lipid profile will be done before and after treatment. Results: Subjective and objectives outcomes will be assessed by statistical analysis. Conclusion: It will be drawn from the result obtained.

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Section: Plan To Promote Participants Retention and Complete Follow Upmentioning

confidence: 99%

Protocol on Comparative Clinical Efficacy of Tryushanadi Guggul and Navaka Guggul in Sthoulya (Overweight)

Pardhekar

Misar

Ade

2021

JPRI

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“…It is one of the Santarpanottha Vikaras(Disease due to consumption of excessive calories) [14]. Studies on basti were reported by Hiware et al [15] and Bhende et al [16] Studies on Obesity and different assessment tools were reviewed [17][18][19]. Related aspects of Obesity were also addressed in the studies of Dixit et al [20], Khatib et al [21] and Regmi et al [22].…”

Section: Sthaulya (Obesity)mentioning

confidence: 99%

A Comparative Study to Evaluate the Efficacy of Lekhana Basti and Modified Vachadi Gana Basti in Combination with Navaka Guggulu in Sthaulya (Obesity) -A Study Protocol

Bhonsle

Parwe

Nisargandha

2021

JPRI

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Background: Sthoulya described as Obesity occurs due to the vitiation of Kapha & Vata. The signs and symptoms of Sthoulya can be correlated with Obesity. This has been said in Ayurveda and Sthaulya purusha (Obese person) is considered one of the nindita Purusha. Lekhaniya gana contains the drugs like Triphala, Shatpushpa, Madhu (Honey), Ushaka, Kasis, Tuttha, Shilajit, Saindhava (Salt), Yavakshar, Gomutra (Cow Urine) which are having specially lekhaniya (Scraping) properties, Kapha and Meda (fat) hara property, in sthaulya increased kapha and meda (fat) is seen, the medicine having these lekhaniya property helps to scrap the excess fat from the body so this medicine is helpful to reduce fat. While Modified Vachadi Gana (Group of herbs) contains Devdaru (Cedrus Deodara), Shunthi (Zingiber Officinale), Vacha (Acorus Calamus), Haritaki (Terminalia Chebula), Ativisha (Aconitum Heterophyllum), Nagarmotha (Cyperus Rotundus), Ushaka, Kasis (Ferrous Sulfate), Tuttha (Blue Vitriol), Shilajit (Asphaltum), Saindhava (salt), Yavakshar (Hordeum Vulgare), Modified Vachadi gana having vata and kapha hara property & Lekhaniya (Scraping) property both. So it is used in vata kaphaja vikara like sthaulya so to treat it vata kapha reducing medicine is to use. Modified Vachadi Gana having those above properties apart from that also having lekhaniya property. Hence, it also helps to scrap the excess fat from the body, so this medicine is helpful to reduce fat. Aim: To study the effect of Lekhana Basti & Modified Vachadi Gana Basti along with Navak Guguulu in sthoulya (Obesity). Objectives: To study the impact of Lekhana Basti on body mass index, body circumference measurements, skinfold thickness, lipid profile, To study the impact of Vachadi gana yoga basti (Modified) on body mass index, body circumference measurements, skinfold thickness & lipid profile, To compare the efficacy of Lekhana Basti and Modified Vachadi Gana basti on body mass Index, body circumference measurements, skinfold thickness & lipid profile. Materials and Methods: A total of 35 patients will be selected in each group from the outpatient department of Panchakarma MGACH & RC. Basti will be done in Yog basti pattern. In Group A, Lekhana Basti & In Group B, Modified Vachadi Basti will be used. After Basti Krama 16 Days, Parihara Kala is to be given. Conclusion: Based on the result conclusion will be drawn.

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“…It visualizes the classification discrepancies in the classifier model [25]. The accuracy (ACC), specificity (SPE), sensitivity (SEN), positive predictive value (PPV), negative predictive value (NPV), and F1 score (F1) were calculated using the equations ( 2), ( 3), ( 4), ( 5), (6), and ( 7) respectively.…”

Section: Classifier Metricsmentioning

confidence: 99%

“…Since those downsides with BMI, two classifications of obesity are reported in the literature, the first classification is individuals with high body fat mass but the normal metabolic response, and the second classification endorse individuals that suffer from metabolic obesity with normal weight (MONW) [4,5]. The persons that are MONW have high cardiovascular and metabolic risk factors similar to individuals with abnormal BMI [6,7].…”

Section: Introductionmentioning

confidence: 99%

Support Vector Machine Technique as Classifier of Impaired Body Fat Percentage

Cruz

Severeyn

Huerta

et al. 2021

Frontiers in Artificial Intelligence and Applications

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Excess weight and obesity are indicators of an unhealthy or harmful accumulation of fat that can be dangerous to health. Body mass index (BMI) refers to height-to-weight radio and is often used to identify overweight and obesity in adults. Although BMI is commonly used to diagnose obesity and overweight, it is ineffective in differentiating between high muscle mass and elevated body fat mass. Body fat percentage (BF%) is one of the best predictors of obesity because it quantifies adipose tissue. The Deurenberg equation is among the indirect methods to measure BF%; it uses BMI, age, and sex as parameters to calculate the BF%. Machine learning techniques demonstrated to be a good classifier of overweight, obesity, and diseases related to insulin resistance and metabolic syndrome. This study intends to evaluate anthropometric parameters as classifiers of BF% alteration using support vector machines and the Deurenberg equation for BF% estimation. The database used consisted of 1978 individuals with 24 different anthropometric measurements. The results suggest the SVM as a suitable technique for classifying individuals with normal and abnormal BF% values. Accuracy, F1 score, PPV, NPV, and sensitivity were above 0.8. Besides, the specificity value is below 0.7, which indicates that false positives may occur. As future work, this research intends to apply neural networks as a classification technique.

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Prevalence of Metabolic Obesity Normal Weight (MONW) in Cardiovascular Disease Patients - A Hospital-Based Case Control Study

Cited by 10 publications

References 16 publications

Protocol on Comparative Clinical Efficacy of Tryushanadi Guggul and Navaka Guggul in Sthoulya (Overweight)

Protocol on Comparative Clinical Efficacy of Tryushanadi Guggul and Navaka Guggul in Sthoulya (Overweight)

A Comparative Study to Evaluate the Efficacy of Lekhana Basti and Modified Vachadi Gana Basti in Combination with Navaka Guggulu in Sthaulya (Obesity) -A Study Protocol

Support Vector Machine Technique as Classifier of Impaired Body Fat Percentage

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